FreeCoursesOnline Me UDACITY PyTorch Scholarship Challenge FCO | 1587DB75E7DB855B82A7586DF9445C932385B4D4

FreeCoursesOnline Me UDACITY PyTorch Scholarship Challenge FCO

Name	[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.2 GB
Total Files	869
Last Seen	2025-07-18 23:36
Hash	1587DB75E7DB855B82A7586DF9445C932385B4D4

/assets/css/fonts/
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/.../Lesson 01_Welcome to the Scholarship Challenge!/
data.json	21.1 KB
/.../Lesson 02_Introduction to Neural Networks/
data.json	140.6 KB
/.../Lesson 03_Talking PyTorch with Soumith Chintala/
data.json	9.8 KB
/.../Lesson 04_Introduction to PyTorch/
data.json	27.3 KB
/.../Lesson 05_Convolutional Neural Networks/
data.json	115.2 KB
/.../Lesson 06_Style Transfer/
data.json	16.4 KB
/.../Lesson 07_Recurrent Neural Networks/
data.json	38.6 KB
/.../Lesson 08_Sentiment Prediction with RNNs/
data.json	46.8 KB
/.../Lesson 09_Deploying PyTorch Models/
data.json	12.2 KB
/.../Lesson 10_Challenge Project/
data.json	7.9 KB
/assets/css/
bootstrap.min.css	140.9 KB
jquery.mCustomScrollbar.min.css	42.8 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
styles.css	3.9 KB
/assets/img/
udacimak.png	472.1 KB
/assets/js/
bootstrap.min.js	51.0 KB
jquery-3.3.1.min.js	86.9 KB
jquery.mCustomScrollbar.concat.min.js	45.5 KB
katex.min.js	236.8 KB
plyr.polyfilled.min.js	129.2 KB
/img/
alexis-headshot.jpg	27.0 KB
cezanne-head.jpg	61.0 KB
mat-headshot.png	184.3 KB
meme.png	214.1 KB
pytorch-project-image.png	224.4 KB
scholarships-team.png	109.6 KB
students-first.png	300.6 KB
udacitypytorch-welcomepage-image-v2.png	868.0 KB
/img/
and-quiz.png	272.2 KB
and-to-or.png	620.7 KB
codecogseqn-43.gif	8.2 KB
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codecogseqn-58.gif	0.9 KB
codecogseqn-60-2.png	9.2 KB
or-quiz.png	403.1 KB
perceptronquiz.png	95.9 KB
points.png	64.7 KB
regularization-quiz.png	90.0 KB
screen-shot-2018-09-10-at-7.38.39-pm.png	303.4 KB
sigmoid-derivative.gif	2.1 KB
student-quiz.png	767.0 KB
xor.png	220.1 KB
xor-quiz.png	96.4 KB
/img/
mat-headshot.png	184.3 KB
/img/
diagonal-line-1.png	5.9 KB
diagonal-line-2.png	6.8 KB
full-padding-no-strides-transposed.gif	227.1 KB
grid-layer-1.png	36.1 KB
layer-1-grid.png	46.8 KB
opencv-logo-with-text.png	32.0 KB
relu-ex.png	123.9 KB
screen-shot-2016-11-24-at-12.08.11-pm.png	3.0 MB
screen-shot-2016-11-24-at-12.09.02-pm.png	3.2 MB
screen-shot-2016-11-24-at-12.09.24-pm.png	3.7 MB
screen-shot-2017-06-26-at-10.44.50-am.png	51.8 KB
screen-shot-2018-05-31-at-2.59.36-pm.png	197.3 KB
screen-shot-2018-05-31-at-3.06.07-pm.png	174.0 KB
screen-shot-2018-05-31-at-3.07.03-pm.png	53.3 KB
screen-shot-2018-09-24-at-3.17.56-pm.png	115.2 KB
screen-shot-2018-09-24-at-3.18.33-pm.png	469.9 KB
/img/
cezanne-head.jpg	61.0 KB
meme.png	214.1 KB
screen-shot-2017-11-16-at-4.26.22-pm.png	42.2 KB
screen-shot-2017-11-16-at-4.27.58-pm.png	28.4 KB
screen-shot-2017-11-16-at-4.31.41-pm.png	46.0 KB
screen-shot-2018-10-15-at-8.35.15-pm.png	122.8 KB
/img/
cezanne-head.jpg	61.0 KB
dancing-beemo.gif	325.8 KB
screen-shot-2018-11-05-at-11.33.57-am.png	157.6 KB
screen-shot-2018-11-06-at-2.30.04-pm.png	77.8 KB
screen-shot-2018-11-06-at-2.48.40-pm.png	59.4 KB
/img/
mat-headshot.png	184.3 KB
sebastian-dlnd-card.png	586.7 KB
/img/
image-04549.jpg	73.9 KB
meme.png	214.1 KB
/media/
Upload+image.png	117.9 KB
/img/
hero-bg-1.png	650.7 KB
/Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/
01. Welcome to the course!.html	7.4 KB
02. Instructors.html	7.1 KB
03. Course Outline.html	6.2 KB
04. How this program works.html	6.3 KB
05. Join the Scholar Learning Community.html	6.0 KB
06. Scholarship Challenge Project.html	5.3 KB
index.html	3.5 KB
/Part 01-Module 01-Lesson 02_Introduction to Neural Networks/
01. Introduction.html	9.4 KB
01. Introduction-tn-CrUTkCUc.en.vtt	3.4 KB
01. Introduction-tn-CrUTkCUc.mp4	7.9 MB
01. Introduction-tn-CrUTkCUc.pt-BR.vtt	3.2 KB
01. Introduction-tn-CrUTkCUc.zh-CN.vtt	2.9 KB
02. Classification Problems 1.html	10.7 KB
02. Classsification Example-Dh625piH7Z0.en.vtt	2.8 KB
02. Classsification Example-Dh625piH7Z0.mp4	2.2 MB
02. Classsification Example-Dh625piH7Z0.pt-BR.vtt	2.6 KB
02. Classsification Example-Dh625piH7Z0.zh-CN.vtt	2.4 KB
03. Classification Example-46PywnGa_cQ.en.vtt	1.8 KB
03. Classification Example-46PywnGa_cQ.mp4	1.7 MB
03. Classification Example-46PywnGa_cQ.pt-BR.vtt	1.6 KB
03. Classification Example-46PywnGa_cQ.zh-CN.vtt	1.7 KB
03. Classification Problems 2.html	9.5 KB
04. Linear Boundaries.html	10.2 KB
04. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
04. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
05. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
05. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
05. Higher Dimensions.html	10.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
06. Perceptrons.html	10.6 KB
07. Why Neural Networks.html	9.5 KB
07. Why Neural Networks-zAkzOZntK6Y.en.vtt	1.4 KB
07. Why Neural Networks-zAkzOZntK6Y.mp4	1.0 MB
07. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt	1.3 KB
07. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt	1.2 KB
08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt	3.1 KB
08. AND And OR Perceptrons-45K5N0P9wJk.mp4	2.8 MB
08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt	3.2 KB
08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt	2.5 KB
08. Perceptrons as Logical Operators.html	21.3 KB
08. XOR Perceptron-TF83GfjYLdw.en.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.mp4	969.7 KB
08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt	1.0 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt	0.4 KB
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09. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
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09. Perceptron Trick.html	13.3 KB
10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
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10. Perceptron Algorithm.html	17.0 KB
11. Non-Linear Regions-B8UrWnHh1Wc.en.vtt	1.8 KB
11. Non-Linear Regions-B8UrWnHh1Wc.mp4	1.4 MB
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11. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt	1.6 KB
11. Non-Linear Regions.html	9.4 KB
12. Error Functions.html	9.4 KB
12. Error Functions-YfUUunxWIJw.en.vtt	0.8 KB
12. Error Functions-YfUUunxWIJw.mp4	3.7 MB
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13. Error Functions-jfKShxGAbok.en.vtt	9.7 KB
13. Error Functions-jfKShxGAbok.mp4	7.6 MB
13. Error Functions-jfKShxGAbok.pt-BR.vtt	9.4 KB
13. Error Functions-jfKShxGAbok.zh-CN.vtt	8.6 KB
13. Log-loss Error Function.html	11.1 KB
14. Discrete vs Continuous.html	11.8 KB
14. Discrete vs Continuous-rdP-RPDFkl0.en.vtt	0.6 KB
14. Discrete vs Continuous-rdP-RPDFkl0.mp4	2.4 MB
14. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt	0.6 KB
14. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt	0.5 KB
14. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt	5.8 KB
14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4	5.6 MB
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14. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt	4.8 KB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt	5.5 KB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4	4.2 MB
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15. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt	4.5 KB
15. DL 18 S Softmax-n8S-v_LCTms.en.vtt	2.7 KB
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15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt	2.4 KB
15. Quiz - Softmax-NNoezNnAMTY.en.vtt	0.5 KB
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15. Softmax.html	13.8 KB
16. One-Hot Encoding-AePvjhyvsBo.en.vtt	2.3 KB
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16. One-Hot Encoding.html	9.4 KB
17. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt	1.7 KB
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17. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt	4.5 KB
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17. Maximum Likelihood.html	11.9 KB
18. Maximizing Probabilities.html	11.3 KB
18. Quiz - Cross 1--xxrisIvD0E.en.vtt	0.9 KB
18. Quiz - Cross 1--xxrisIvD0E.mp4	3.2 MB
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18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt	2.4 KB
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18. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt	2.1 KB
19. Cross-Entropy 1.html	9.7 KB
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20. Cross-Entropy 2.html	12.0 KB
20. CrossEntropy V1-1BnhC6e0TFw.en.vtt	8.2 KB
20. CrossEntropy V1-1BnhC6e0TFw.mp4	6.9 MB
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20. Formula For Cross 1-qvr_ego_d6w.en.vtt	0.6 KB
20. Formula For Cross 1-qvr_ego_d6w.mp4	2.2 MB
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20. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt	0.5 KB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt	4.8 KB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4	4.3 MB
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21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt	4.1 KB
21. Multi-Class Cross Entropy.html	10.7 KB
22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt	1.7 KB
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22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt	1.5 KB
22. Error Function-V5kkHldUlVU.en.vtt	5.0 KB
22. Error Function-V5kkHldUlVU.mp4	5.1 MB
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22. Logistic Regression.html	11.1 KB
23. Gradient Descent.html	17.6 KB
23. Gradient Descent-rhVIF-nigrY.en.vtt	3.9 KB
23. Gradient Descent-rhVIF-nigrY.mp4	3.9 MB
23. Gradient Descent-rhVIF-nigrY.pt-BR.vtt	4.1 KB
24. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt	2.6 KB
24. Gradient Descent Algorithm-snxmBgi_GeU.mp4	2.1 MB
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24. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt	2.3 KB
24. Logistic Regression Algorithm.html	9.5 KB
25. Pre-Notebook Gradient Descent.html	11.5 KB
26. Notebook Gradient Descent.html	9.9 KB
27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt	4.4 KB
27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4	3.4 MB
27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt	4.3 KB
27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt	3.7 KB
27. Perceptron vs Gradient Descent.html	9.8 KB
28. Continuous Perceptrons-07-JJ-aGEfM.en.vtt	1.4 KB
28. Continuous Perceptrons-07-JJ-aGEfM.mp4	1.2 MB
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28. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt	1.2 KB
28. Continuous Perceptrons.html	9.5 KB
29. Non-Linear Data-F7ZiE8PQiSc.en.vtt	0.6 KB
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29. Non-linear Data.html	9.4 KB
30. Non-Linear Models.html	9.4 KB
30. Non-Linear Models-HWuBKCZsCo8.en.vtt	1.3 KB
30. Non-Linear Models-HWuBKCZsCo8.mp4	1.2 MB
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31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt	3.1 KB
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31. Combinando modelos-Boy3zHVrWB4.en.vtt	5.4 KB
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31. Neural Network Architecture.html	14.2 KB
32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt	6.3 KB
32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4	5.6 MB
32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt	6.9 KB
32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt	5.5 KB
32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt	2.0 KB
32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4	1.8 MB
32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt	2.2 KB
32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt	1.7 KB
32. Feedforward.html	10.7 KB
33. Backpropagation.html	13.6 KB
33. Backpropagation V2-1SmY3TZTyUk.en.vtt	7.4 KB
33. Backpropagation V2-1SmY3TZTyUk.mp4	6.8 MB
33. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt	7.3 KB
33. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt	6.5 KB
33. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt	3.5 KB
33. Calculating The Gradient 1 -tVuZDbUrzzI.mp4	3.5 MB
33. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt	3.5 KB
33. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt	3.0 KB
33. Chain Rule-YAhIBOnbt54.en.vtt	1.7 KB
33. Chain Rule-YAhIBOnbt54.mp4	1.5 MB
33. Chain Rule-YAhIBOnbt54.pt-BR.vtt	1.8 KB
33. Chain Rule-YAhIBOnbt54.zh-CN.vtt	1.5 KB
33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4	6.0 MB
33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt	6.7 KB
33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt	5.2 KB
34. Pre-Notebook Analyzing Student Data.html	10.5 KB
35. Notebook Analyzing Student Data.html	9.9 KB
36. Training Optimization.html	9.5 KB
36. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
36. Training Optimization-UiGKhx9pUYc.mp4	3.1 MB
36. Training Optimization-UiGKhx9pUYc.pt-BR.vtt	0.9 KB
36. Training Optimization-UiGKhx9pUYc.zh-CN.vtt	0.8 KB
37. Testing-EeBZpb-PSac.en.vtt	2.5 KB
37. Testing-EeBZpb-PSac.mp4	2.1 MB
37. Testing-EeBZpb-PSac.pt-BR.vtt	2.4 KB
37. Testing-EeBZpb-PSac.zh-CN.vtt	2.0 KB
37. Testing.html	9.4 KB
38. Overfitting and Underfitting.html	9.5 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt	7.7 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4	6.7 MB
38. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt	8.3 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt	6.7 KB
39. Early Stopping.html	9.5 KB
39. Model Complexity Graph-NnS0FJyVcDQ.en.vtt	5.4 KB
39. Model Complexity Graph-NnS0FJyVcDQ.mp4	5.1 MB
39. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt	5.7 KB
39. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt	4.8 KB
40. DL 53 Q Regularization-KxROxcRsHL8.en.vtt	1.2 KB
40. DL 53 Q Regularization-KxROxcRsHL8.mp4	1.1 MB
40. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt	1.2 KB
40. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt	1.0 KB
40. Regularization.html	10.5 KB
41. Regularization 2.html	9.4 KB
41. Regularization-ndYnUrx8xvs.en.vtt	8.3 KB
41. Regularization-ndYnUrx8xvs.mp4	7.9 MB
41. Regularization-ndYnUrx8xvs.pt-BR.vtt	9.0 KB
41. Regularization-ndYnUrx8xvs.zh-CN.vtt	7.1 KB
42. Dropout.html	9.4 KB
42. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
42. Dropout-Ty6K6YiGdBs.mp4	4.4 MB
42. Dropout-Ty6K6YiGdBs.pt-BR.vtt	4.8 KB
42. Dropout-Ty6K6YiGdBs.zh-CN.vtt	4.2 KB
43. Local Minima-gF_sW_nY-xw.en.vtt	1.2 KB
43. Local Minima-gF_sW_nY-xw.mp4	839.5 KB
43. Local Minima-gF_sW_nY-xw.pt-BR.vtt	1.1 KB
43. Local Minima-gF_sW_nY-xw.zh-CN.vtt	1.0 KB
43. Local Minima.html	9.4 KB
44. Random Restart.html	9.4 KB
44. Random Restart-idyBBCzXiqg.en.vtt	0.5 KB
44. Random Restart-idyBBCzXiqg.mp4	404.5 KB
44. Random Restart-idyBBCzXiqg.pt-BR.vtt	0.5 KB
44. Random Restart-idyBBCzXiqg.zh-CN.vtt	0.4 KB
45. Vanishing Gradient.html	9.4 KB
45. Vanishing Gradient-W_JJm_5syFw.en.vtt	1.5 KB
45. Vanishing Gradient-W_JJm_5syFw.mp4	1.4 MB
45. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt	1.6 KB
45. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt	1.3 KB
46. Other Activation Functions.html	9.8 KB
46. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
46. Other Activation Functions-kA-1vUt6cvQ.mp4	2.4 MB
46. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt	2.6 KB
46. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt	2.4 KB
47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4	4.1 MB
47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt	4.7 KB
47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt	4.2 KB
47. Batch vs Stochastic Gradient Descent.html	9.6 KB
48. Learning Rate Decay.html	9.4 KB
48. Learning Rate-TwJ8aSZoh2U.en.vtt	1.1 KB
48. Learning Rate-TwJ8aSZoh2U.mp4	949.3 KB
48. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt	1.3 KB
48. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt	1.0 KB
49. Momentum.html	9.4 KB
49. Momentum-r-rYz_PEWC8.en.vtt	2.6 KB
49. Momentum-r-rYz_PEWC8.mp4	2.2 MB
49. Momentum-r-rYz_PEWC8.pt-BR.vtt	2.8 KB
49. Momentum-r-rYz_PEWC8.zh-CN.vtt	2.3 KB
50. Error Functions Around the World-34AAcTECu2A.en.vtt	1.2 KB
50. Error Functions Around the World-34AAcTECu2A.mp4	1.8 MB
50. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt	1.1 KB
50. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt	1.1 KB
50. Error Functions Around the World.html	9.5 KB
index.html	7.0 KB
/Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/
01. Origins of PyTorch.html	4.9 KB
01. Origins Of PyTorch V2-0eLXNFv6aT8.mp4	31.5 MB
02. Debugging and Designing PyTorch.html	4.9 KB
02. Debugging And Designing PyTorch-Nn8140ECzPU.mp4	12.3 MB
03. From Research To Production-eCysOAw8azs.mp4	21.8 MB
03. From Research to Production.html	4.9 KB
04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp4	24.0 MB
04. Hybrid Frontend.html	4.9 KB
05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp4	16.6 MB
05. Cutting-edge Applications in PyTorch.html	4.9 KB
06. User Needs And Adding Features-7HH65_c7Acw.mp4	16.5 MB
06. User Needs and Adding Features.html	4.9 KB
07. PyTorch and the Facebook Product.html	4.9 KB
07. PyTorch And The Facebook Product-TjVveb0iVrA.mp4	7.9 MB
08. The Future of PyTorch.html	4.9 KB
08. The Future Of PyTorch-vfCg3FoOjE4.mp4	15.2 MB
09. Learning Ai-NMItGw0GFGM.mp4	10.5 MB
09. Learning More in AI.html	4.8 KB
index.html	3.8 KB
/Part 01-Module 01-Lesson 04_Introduction to PyTorch/
01. Welcome!.html	11.2 KB
02. PyTorch V2 Part 1 V1-6Z7WntXays8.en.vtt	10.0 KB
02. PyTorch V2 Part 1 V1-6Z7WntXays8.mp4	12.9 MB
02. Single layer neural networks.html	6.5 KB
03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.en.vtt	10.7 KB
03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4	16.4 MB
03. Single layer neural networks solution.html	6.5 KB
04. Networks Using Matrix Multiplication.html	6.5 KB
04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.en.vtt	4.6 KB
04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp4	6.9 MB
05. Multilayer Networks Solution.html	6.5 KB
05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.en.vtt	4.6 KB
05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp4	6.2 MB
06. Neural Networks in PyTorch.html	6.5 KB
06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.en.vtt	6.0 KB
06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp4	11.4 MB
07. Neural Networks Solution.html	6.5 KB
07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.en.vtt	7.7 KB
07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp4	9.2 MB
08. Implementing Softmax Solution.html	6.4 KB
08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4	17.5 MB
09. Network Architectures in PyTorch.html	6.5 KB
09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.en.vtt	15.6 KB
09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4	19.7 MB
10. Network Architectures Solution.html	6.5 KB
10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.en.vtt	15.7 KB
10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4	22.3 MB
11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.en.vtt	2.8 KB
11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp4	3.7 MB
11. Training a Network Solution.html	6.5 KB
12. Classifying Fashion-MNIST.html	6.7 KB
12. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt	2.3 KB
12. PyTorch - Part 4-AEJV_RKZ7VU.mp4	3.5 MB
12. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt	2.2 KB
12. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt	2.0 KB
13. Fashion-MNIST Solution.html	6.5 KB
13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.en.vtt	6.3 KB
13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp4	8.6 MB
14. Inference and Validation.html	6.5 KB
14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.en.vtt	9.1 KB
14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp4	14.6 MB
15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.en.vtt	7.6 KB
15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4	16.6 MB
15. Validation Solution.html	6.5 KB
16. Dropout Solution.html	6.5 KB
16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.en.vtt	2.1 KB
16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp4	2.9 MB
17. PyTorch - Part 6-3ZJfo2bR-uw.en.vtt	9.6 KB
17. PyTorch - Part 6-3ZJfo2bR-uw.mp4	16.6 MB
17. PyTorch - Part 6-3ZJfo2bR-uw.pt-BR.vtt	10.0 KB
17. PyTorch - Part 6-3ZJfo2bR-uw.zh-CN.vtt	8.1 KB
17. Saving and Loading Models.html	6.7 KB
18. Loading Image Data.html	6.7 KB
18. PyTorch - Part 7-hFu7GTfRWks.en.vtt	10.9 KB
18. PyTorch - Part 7-hFu7GTfRWks.mp4	15.9 MB
18. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt	11.1 KB
18. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt	8.8 KB
19. Loading Image Data Solution.html	6.5 KB
19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.en.vtt	4.6 KB
19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp4	7.1 MB
20. PyTorch - Part 8-S9F7MtJ5jls.en.vtt	17.2 KB
20. PyTorch - Part 8-S9F7MtJ5jls.mp4	30.9 MB
20. PyTorch - Part 8-S9F7MtJ5jls.pt-BR.vtt	17.0 KB
20. PyTorch - Part 8-S9F7MtJ5jls.zh-CN.vtt	13.5 KB
20. Transfer Learning.html	6.7 KB
21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.en.vtt	13.8 KB
21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4	19.4 MB
21. Transfer Learning Solution.html	6.5 KB
22. Tips, Tricks, and Other Notes.html	7.8 KB
index.html	5.0 KB
/Part 01-Module 01-Lesson 05_Convolutional Neural Networks/
01. Introducing Alexis-38ExGpdyvJI.en.vtt	0.7 KB
01. Introducing Alexis-38ExGpdyvJI.mp4	2.2 MB
01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt	0.6 KB
01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt	0.6 KB
01. Introducing Alexis.html	9.3 KB
02. Applications of CNNs-HrYNL_1SV2Y.en.vtt	5.5 KB
02. Applications of CNNs-HrYNL_1SV2Y.mp4	18.6 MB
02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt	5.8 KB
02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt	4.8 KB
02. Applications of CNNs.html	14.5 KB
03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.en.vtt	1.3 KB
03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp4	2.5 MB
03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.pt-BR.vtt	1.3 KB
03. Lesson Outline.html	9.9 KB
04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.en.vtt	2.9 KB
04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp4	2.5 MB
04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.pt-BR.vtt	2.7 KB
04. MNIST Dataset.html	9.5 KB
05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.en.vtt	3.9 KB
05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp4	4.7 MB
05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.pt-BR.vtt	4.2 KB
05. How Computers Interpret Images.html	11.0 KB
06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.en.vtt	3.2 KB
06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.mp4	3.0 MB
06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.pt-BR.vtt	3.2 KB
06. MLP Structure & Class Scores.html	9.7 KB
07. 04 Do Your Research V1-CR4JeAn1fgk.en.vtt	2.8 KB
07. 04 Do Your Research V1-CR4JeAn1fgk.mp4	4.2 MB
07. 04 Do Your Research V1-CR4JeAn1fgk.pt-BR.vtt	2.9 KB
07. Do Your Research.html	9.0 KB
08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.en.vtt	7.7 KB
08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.mp4	6.9 MB
08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.pt-BR.vtt	7.7 KB
08. Loss & Optimization.html	9.0 KB
09. 06 Defining A Network V1-9gvaQvyfLfY.en.vtt	7.3 KB
09. 06 Defining A Network V1-9gvaQvyfLfY.mp4	10.3 MB
09. 06 Defining A Network V1-9gvaQvyfLfY.pt-BR.vtt	7.0 KB
09. Defining a Network in PyTorch.html	10.1 KB
10. 07 Training The Network V1-904bfqibcCw.en.vtt	6.7 KB
10. 07 Training The Network V1-904bfqibcCw.mp4	11.0 MB
10. 07 Training The Network V1-904bfqibcCw.pt-BR.vtt	6.3 KB
10. Training the Network.html	10.7 KB
11. Pre-Notebook MLP Classification, Exercise.html	10.3 KB
12. Notebook MLP Classification, MNIST.html	9.5 KB
13. 09 One Solution V2-7q37WPjQhDA.en.vtt	8.1 KB
13. 09 One Solution V2-7q37WPjQhDA.mp4	12.1 MB
13. 09 One Solution V2-7q37WPjQhDA.pt-BR.vtt	7.8 KB
13. One Solution.html	10.3 KB
14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.en.vtt	4.7 KB
14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp4	3.5 MB
14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.pt-BR.vtt	4.5 KB
14. Model Validation.html	9.0 KB
15. 11 Validation Loss V2-uGPP_-pbBsc.en.vtt	9.0 KB
15. 11 Validation Loss V2-uGPP_-pbBsc.mp4	14.9 MB
15. 11 Validation Loss V2-uGPP_-pbBsc.pt-BR.vtt	8.6 KB
15. Validation Loss.html	9.9 KB
16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.en.vtt	1.8 KB
16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp4	2.5 MB
16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.pt-BR.vtt	1.7 KB
16. Image Classification Steps.html	9.0 KB
17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.en.vtt	3.1 KB
17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp4	4.4 MB
17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.pt-BR.vtt	3.0 KB
17. MLPs vs CNNs.html	9.3 KB
18. Local Connectivity.html	9.1 KB
18. Local Connectivity-z9wiDg0w-Dc.en.vtt	9.2 KB
18. Local Connectivity-z9wiDg0w-Dc.mp4	13.7 MB
18. Local Connectivity-z9wiDg0w-Dc.pt-BR.vtt	9.5 KB
18. Local Connectivity-z9wiDg0w-Dc.zh-CN.vtt	7.8 KB
19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.en.vtt	2.2 KB
19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp4	3.1 MB
19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.pt-BR.vtt	2.2 KB
19. Filters and the Convolutional Layer.html	9.0 KB
20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.en.vtt	1.6 KB
20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.mp4	3.7 MB
20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.pt-BR.vtt	1.7 KB
20. Filters & Edges.html	9.6 KB
21. Frequency in Images.html	11.4 KB
22. High-pass Filters.html	10.2 KB
22. High-pass Filters-OpcFn_H2V-Q.en.vtt	7.7 KB
22. High-pass Filters-OpcFn_H2V-Q.mp4	8.6 MB
22. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt	8.4 KB
22. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt	6.7 KB
23. Quiz Kernels.html	10.2 KB
24. OpenCV & Creating Custom Filters.html	11.4 KB
25. Notebook Finding Edges.html	9.5 KB
26. Convolutional Layer.html	11.6 KB
27. Convolutional Layers (Part 2).html	9.9 KB
27. Convolutional Layers-RnM1D-XI--8.en.vtt	10.2 KB
27. Convolutional Layers-RnM1D-XI--8.mp4	20.8 MB
27. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt	11.3 KB
27. Convolutional Layers-RnM1D-XI--8.zh-CN.vtt	8.9 KB
28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.en.vtt	3.7 KB
28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp4	6.4 MB
28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.pt-BR.vtt	4.0 KB
28. Stride and Padding.html	9.0 KB
29. 24 CNNs PyTorch V2-GNxzWfiz3do.en.vtt	8.5 KB
29. 24 CNNs PyTorch V2-GNxzWfiz3do.mp4	13.2 MB
29. 24 CNNs PyTorch V2-GNxzWfiz3do.pt-BR.vtt	8.3 KB
29. CNNs in PyTorch.html	9.3 KB
30. 18 Pooling RENDER V1-_Ok5xZwOtrk.en.vtt	3.0 KB
30. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp4	3.1 MB
30. 18 Pooling RENDER V1-_Ok5xZwOtrk.pt-BR.vtt	3.3 KB
30. Pooling Layers.html	11.0 KB
31. Notebook Layer Visualization.html	9.5 KB
32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.en.vtt	4.3 KB
32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp4	5.1 MB
32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.pt-BR.vtt	4.5 KB
32. Increasing Depth.html	9.1 KB
33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.en.vtt	4.9 KB
33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp4	6.0 MB
33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.pt-BR.vtt	5.2 KB
33. CNNs for Image Classification.html	14.4 KB
34. Convolutional Layers in PyTorch.html	21.2 KB
35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.en.vtt	4.0 KB
35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp4	5.6 MB
35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.pt-BR.vtt	4.0 KB
35. Feature Vector.html	9.0 KB
36. 23 Cifar Class V1-FF_EmZ2sf2w.en.vtt	8.6 KB
36. 23 Cifar Class V1-FF_EmZ2sf2w.mp4	13.5 MB
36. 23 Cifar Class V1-FF_EmZ2sf2w.pt-BR.vtt	8.8 KB
36. CIFAR Classification Example.html	9.9 KB
37. Notebook CNN Classification.html	10.5 KB
38. Notebook CNNs for CIFAR Image Classification.html	9.5 KB
39. Image Augmentation.html	9.0 KB
39. Image Augmentation In Keras-zQnx2jZmjTA.en.vtt	4.7 KB
39. Image Augmentation In Keras-zQnx2jZmjTA.mp4	5.2 MB
39. Image Augmentation In Keras-zQnx2jZmjTA.pt-BR.vtt	4.6 KB
40. 26 Augmentation V1-J_gjHVt9pVw.en.vtt	3.5 KB
40. 26 Augmentation V1-J_gjHVt9pVw.mp4	8.0 MB
40. 26 Augmentation V1-J_gjHVt9pVw.pt-BR.vtt	3.3 KB
40. Augmentation Using Transformations.html	9.4 KB
41. Groundbreaking CNN Architectures-GdYOqihgb2k.en.vtt	3.7 KB
41. Groundbreaking CNN Architectures-GdYOqihgb2k.mp4	7.7 MB
41. Groundbreaking CNN Architectures-GdYOqihgb2k.pt-BR.vtt	3.9 KB
41. Groundbreaking CNN Architectures.html	10.2 KB
42. Visualizing CNNs-mnqS_EhEZVg.en.vtt	4.0 KB
42. Visualizing CNNs-mnqS_EhEZVg.mp4	9.6 MB
42. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt	3.9 KB
42. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt	3.4 KB
42. Visualizing CNNs (Part 1).html	11.4 KB
43. Visualizing CNNs (Part 2).html	16.1 KB
44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.en.vtt	2.1 KB
44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp4	3.8 MB
44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.pt-BR.vtt	2.2 KB
44. Summary of CNNs.html	9.0 KB
index.html	6.8 KB
/Part 01-Module 01-Lesson 06_Style Transfer/
01. 01 StyleTransfer V3-_urN9BQ7RHM.en.vtt	2.0 KB
01. 01 StyleTransfer V3-_urN9BQ7RHM.mp4	2.9 MB
01. 01 StyleTransfer V3-_urN9BQ7RHM.pt-BR.vtt	1.9 KB
01. Style Transfer.html	5.3 KB
02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.en.vtt	5.2 KB
02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.mp4	9.6 MB
02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.pt-BR.vtt	5.5 KB
02. Separating Style & Content.html	5.3 KB
03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.en.vtt	5.8 KB
03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.mp4	8.2 MB
03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.pt-BR.vtt	6.1 KB
03. VGG19 & Content Loss.html	5.3 KB
04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.en.vtt	5.4 KB
04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.mp4	8.1 MB
04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.pt-BR.vtt	5.8 KB
04. Gram Matrix.html	7.8 KB
05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.en.vtt	2.0 KB
05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.mp4	1.7 MB
05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.pt-BR.vtt	2.1 KB
05. Style Loss.html	5.3 KB
06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.en.vtt	2.9 KB
06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.mp4	5.0 MB
06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.pt-BR.vtt	2.9 KB
06. Loss Weights.html	5.3 KB
07. 6 VGG Features V1-Q5N2NEv7ADc.en.vtt	7.1 KB
07. 6 VGG Features V1-Q5N2NEv7ADc.mp4	11.7 MB
07. 6 VGG Features V1-Q5N2NEv7ADc.pt-BR.vtt	7.3 KB
07. VGG Features.html	5.3 KB
08. Notebook Style Transfer.html	7.3 KB
09. 7 Feats Gram Matrix V1-f89x9oAh6X0.en.vtt	3.2 KB
09. 7 Feats Gram Matrix V1-f89x9oAh6X0.mp4	5.9 MB
09. 7 Feats Gram Matrix V1-f89x9oAh6X0.pt-BR.vtt	3.4 KB
09. Features & Gram Matrix.html	5.3 KB
10. 8 Gram Matrix Sol V1-uncCKMI5Yns.en.vtt	3.6 KB
10. 8 Gram Matrix Sol V1-uncCKMI5Yns.mp4	5.1 MB
10. 8 Gram Matrix Sol V1-uncCKMI5Yns.pt-BR.vtt	3.8 KB
10. Gram Matrix Solution.html	5.3 KB
11. 9 Defining Loss V1-lix8d3B2QcE.en.vtt	5.2 KB
11. 9 Defining Loss V1-lix8d3B2QcE.mp4	7.6 MB
11. 9 Defining Loss V1-lix8d3B2QcE.pt-BR.vtt	5.3 KB
11. Defining the Loss.html	5.3 KB
12. 10 Loss Solution V1-DzaQm9awcwY.en.vtt	4.6 KB
12. 10 Loss Solution V1-DzaQm9awcwY.mp4	7.5 MB
12. 10 Loss Solution V1-DzaQm9awcwY.pt-BR.vtt	4.8 KB
12. Total Loss & Complete Solution.html	5.3 KB
index.html	3.9 KB
/Part 01-Module 01-Lesson 07_Recurrent Neural Networks/
01. Intro to RNNs.html	7.5 KB
02. RNN Vs LSTM-70MgF-IwAr8.en.vtt	4.8 KB
02. RNN Vs LSTM-70MgF-IwAr8.mp4	3.8 MB
02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt	4.3 KB
02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt	4.3 KB
02. RNN vs LSTM.html	6.2 KB
03. Basics of LSTM.html	6.3 KB
03. LSTM Basics-gjb68a4XsqE.en.vtt	5.3 KB
03. LSTM Basics-gjb68a4XsqE.mp4	4.2 MB
03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt	5.2 KB
03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt	4.7 KB
04. Architecture of LSTM.html	6.3 KB
04. LSTM Architecture-ycwthhdx8ws.en.vtt	1.5 KB
04. LSTM Architecture-ycwthhdx8ws.mp4	1.1 MB
04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt	1.5 KB
04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt	1.4 KB
05. Learn Gate-aVHVI7ovbHY.en.vtt	2.7 KB
05. Learn Gate-aVHVI7ovbHY.mp4	2.3 MB
05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt	2.7 KB
05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt	2.6 KB
05. The Learn Gate.html	6.9 KB
06. Forget Gate-iWxpfxLUPSU.en.vtt	1.3 KB
06. Forget Gate-iWxpfxLUPSU.mp4	1.1 MB
06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt	1.4 KB
06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt	1.1 KB
06. The Forget Gate.html	6.8 KB
07. Remember Gate-0qlm86HaXuU.en.vtt	0.7 KB
07. Remember Gate-0qlm86HaXuU.mp4	693.2 KB
07. Remember Gate-0qlm86HaXuU.pt-BR.vtt	0.7 KB
07. Remember Gate-0qlm86HaXuU.zh-CN.vtt	0.6 KB
07. The Remember Gate.html	6.7 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt	1.8 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4	1.6 MB
08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt	1.8 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt	1.5 KB
08. The Use Gate.html	6.9 KB
09. Putting it All Together.html	6.3 KB
09. Putting It All Together-IF8FlKW-Zo0.en.vtt	2.5 KB
09. Putting It All Together-IF8FlKW-Zo0.mp4	1.7 MB
09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt	2.4 KB
09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt	2.2 KB
10. Other architectures.html	6.7 KB
10. Other Architectures-MsxFDuYlTuQ.en.vtt	2.4 KB
10. Other Architectures-MsxFDuYlTuQ.mp4	1.8 MB
10. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt	2.5 KB
10. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt	2.1 KB
11. Implementing RNNs.html	6.7 KB
12. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt	11.1 KB
12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4	16.2 MB
12. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt	10.7 KB
12. Time-Series Prediction.html	7.0 KB
13. 03 Training Memory V1-sx7T_KP5v9I.en.vtt	8.0 KB
13. 03 Training Memory V1-sx7T_KP5v9I.mp4	10.0 MB
13. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt	7.6 KB
13. Training & Memory.html	8.2 KB
14. Character-Wise RNN-dXl3eWCGLdU.en.vtt	3.4 KB
14. Character-Wise RNN-dXl3eWCGLdU.mp4	3.0 MB
14. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt	3.7 KB
14. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt	3.1 KB
14. Character-wise RNNs.html	6.3 KB
15. Sequence Batching.html	6.3 KB
15. Sequence-Batching-Z4OiyU0Cldg.en.vtt	2.1 KB
15. Sequence-Batching-Z4OiyU0Cldg.mp4	2.4 MB
15. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt	2.4 KB
15. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt	2.0 KB
16. Notebook Character-Level RNN.html	8.2 KB
17. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt	11.8 KB
17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4	17.2 MB
17. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt	11.0 KB
17. Implementing a Char-RNN.html	6.6 KB
18. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt	5.3 KB
18. 05 Batching Data V1-9Eg0wf3eW-k.mp4	6.1 MB
18. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt	5.0 KB
18. Batching Data, Solution.html	6.2 KB
19. 06 Defining Model V2-_LWzyqq4hCY.en.vtt	5.9 KB
19. 06 Defining Model V2-_LWzyqq4hCY.mp4	9.5 MB
19. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt	6.1 KB
19. Defining the Model.html	6.7 KB
20. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt	11.7 KB
20. 07 CharRNN Solution V1-ed33qePHrJM.mp4	19.2 MB
20. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt	11.4 KB
20. Char-RNN, Solution.html	8.1 KB
21. 08 Making Predictions V3-BhrpV3kwATo.en.vtt	9.0 KB
21. 08 Making Predictions V3-BhrpV3kwATo.mp4	13.0 MB
21. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt	9.1 KB
21. Making Predictions.html	7.2 KB
index.html	4.6 KB
/Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/
01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt	2.2 KB
01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4	2.3 MB
01. Sentiment RNN, Introduction.html	5.5 KB
02. Sentiment Analysis RNNs.html	6.3 KB
03. Notebook Sentiment RNN.html	7.6 KB
04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt	7.1 KB
04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4	10.6 MB
04. Data Pre-Processing.html	5.5 KB
05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt	4.9 KB
05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4	6.8 MB
05. Encoding Words, Solution.html	5.5 KB
06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt	3.7 KB
06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4	4.8 MB
06. Getting Rid of Zero-Length.html	5.5 KB
07. 6 Cleaning And Padding V1-UgPo1_cq-0g.en.vtt	4.7 KB
07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4	6.7 MB
07. Cleaning & Padding Data.html	5.5 KB
08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt	5.2 KB
08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4	5.7 MB
08. Padded Features, Solution.html	5.5 KB
09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt	6.8 KB
09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4	9.5 MB
09. TensorDataset & Batching Data.html	6.7 KB
10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt	5.2 KB
10. 9 DefiningModel V1-SpvIZl1YQRI.mp4	5.9 MB
10. Defining the Model.html	5.4 KB
11. Complete Sentiment RNN.html	11.9 KB
12. Training the Model.html	12.3 KB
13. Testing.html	9.6 KB
14. Inference, Solution.html	12.4 KB
index.html	4.2 KB
/Part 01-Module 01-Lesson 09_Deploying PyTorch Models/
01. Welcome!.html	5.9 KB
02. Installing PyTorch 1.0.html	4.5 KB
02. PyTorch 10 Install V1-kIwKPxgReFY.mp4	1.9 MB
03. PyTorch for Production.html	4.5 KB
03. PyTorch For Production V1-DBSoZWd4lQo.mp4	7.0 MB
04. PyTorch Script Tracing V1-lYmQDUprQa0.mp4	8.8 MB
04. Torch Script & Tracing.html	4.5 KB
05. Annotations.html	4.5 KB
05. PyTorch Script Annotation V2-pO1RM7mKaFg.mp4	7.6 MB
06. PyTorch C++ API.html	4.5 KB
06. PyTorch C API V2-P1S1dN1gHmw.mp4	12.0 MB
07. Want to learn more.html	7.0 KB
index.html	3.5 KB
/Part 01-Module 01-Lesson 10_Challenge Project/
01. Final project.html	6.5 KB
index.html	3.1 KB
Lab - Final Challenge.html	6.7 KB
/
Course index.rar	5.9 KB
Discuss.FreeTutorials.Us.html	169.7 KB
FreeCoursesOnline.Me.html	110.9 KB
FreeTutorials.Eu.html	104.7 KB
Presented By SaM.txt	0.0 KB
[TGx]Downloaded from torrentgalaxy.org.txt	0.5 KB
Torrent Downloaded From GloDls.to.txt	0.1 KB
Total files 869