FreeCourseSite com Udemy Complete Guide to TensorFlow for Deep Learning with Python

FreeCourseSite com Udemy Complete Guide to TensorFlow for Deep Learning with Python

Name	[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python	DOWNLOAD Copy Link
Total Size	2.5 GB
Total Files	203
Hash	CDFD3524871A25A7EE00E14ECFC1E3A0DFF841AC

/0. Websites you may like/
[CourseClub.ME].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
/1. Introduction/
1. Introduction.mp4	12.5 MB
1. Introduction.srt	4.5 KB
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4	17.2 MB
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt	16.9 KB
2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip	314.2 MB
2.2 GET THE UPDATED YML FILE HERE.html	0.1 KB
3. FAQ - Frequently Asked Questions.html	0.4 KB
3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip	314.2 MB
3.2 GET THE UPDATED YML FILE HERE.html	0.1 KB
/10. AutoEncoders/
1. Autoencoder Basics.mp4	14.6 MB
1. Autoencoder Basics.srt	13.2 KB
1.1 05-Autoencoders.zip	8.3 MB
1.2 Autoencoder Slides.html	0.2 KB
2. Dimensionality Reduction with Linear Autoencoder.mp4	39.4 MB
2. Dimensionality Reduction with Linear Autoencoder.srt	25.7 KB
3. Linear Autoencoder PCA Exercise Overview.mp4	6.5 MB
3. Linear Autoencoder PCA Exercise Overview.srt	2.9 KB
4. Linear Autoencoder PCA Exercise Solutions.mp4	24.0 MB
4. Linear Autoencoder PCA Exercise Solutions.srt	11.5 KB
5. Stacked Autoencoder.mp4	46.1 MB
5. Stacked Autoencoder.srt	28.9 KB
/11. Reinforcement Learning with OpenAI Gym/
1. Introduction to Reinforcement Learning with OpenAI Gym.mp4	8.4 MB
1. Introduction to Reinforcement Learning with OpenAI Gym.srt	6.7 KB
1.1 06-Reinforcement-Learning-OpenAI.zip	10.8 KB
1.2 Reinforcement Learning Slides.html	0.2 KB
10. Policy Gradient Code Along Part One.mp4	27.3 MB
10. Policy Gradient Code Along Part One.srt	16.9 KB
11. Policy Gradient Code Along Part Two.mp4	34.4 MB
11. Policy Gradient Code Along Part Two.srt	17.2 KB
2. Extra Resources for Reinforcement Learning.html	1.3 KB
3. Introduction to OpenAI Gym.mp4	14.6 MB
3. Introduction to OpenAI Gym.srt	9.2 KB
4. OpenAI Gym Steup.mp4	15.5 MB
4. OpenAI Gym Steup.srt	12.1 KB
5. Open AI Gym Env Basics.mp4	10.5 MB
5. Open AI Gym Env Basics.srt	9.5 KB
6. Open AI Gym Observations.mp4	16.1 MB
6. Open AI Gym Observations.srt	13.7 KB
7. OpenAI Gym Actions.mp4	15.5 MB
7. OpenAI Gym Actions.srt	13.1 KB
8. Simple Neural Network Game.mp4	37.6 MB
8. Simple Neural Network Game.srt	24.1 KB
9. Policy Gradient Theory.mp4	14.4 MB
9. Policy Gradient Theory.srt	12.2 KB
/12. GAN - Generative Adversarial Networks/
1. Introduction to GANs.mp4	14.1 MB
1. Introduction to GANs.srt	11.2 KB
2. GAN Code Along - Part One.mp4	20.4 MB
2. GAN Code Along - Part One.srt	13.5 KB
3. GAN Code Along - Part Two.mp4	30.7 MB
3. GAN Code Along - Part Two.srt	16.5 KB
4. GAN Code Along - Part Three.mp4	28.9 MB
4. GAN Code Along - Part Three.srt	16.5 KB
/13. BONUS/
1. Bonus Lecture.html	0.5 KB
/2. Installation and Setup/
1. Quick Note for MacOS and Linux Users.html	2.1 KB
2. Installing TensorFlow and Environment Setup.mp4	29.2 MB
2. Installing TensorFlow and Environment Setup.srt	20.1 KB
/3. What is Machine Learning/
1. Machine Learning Overview.mp4	31.9 MB
1. Machine Learning Overview.srt	27.2 KB
1.1 ML Overview Slides.html	0.2 KB
/4. Crash Course Overview/
1. Crash Course Section Introduction.mp4	2.3 MB
1. Crash Course Section Introduction.srt	2.0 KB
2. NumPy Crash Course.mp4	34.1 MB
2. NumPy Crash Course.srt	23.9 KB
3. Pandas Crash Course.mp4	9.5 MB
3. Pandas Crash Course.srt	6.8 KB
4. Data Visualization Crash Course.mp4	20.5 MB
4. Data Visualization Crash Course.srt	11.7 KB
5. SciKit Learn Preprocessing Overview.mp4	21.3 MB
5. SciKit Learn Preprocessing Overview.srt	14.0 KB
6. Crash Course Review Exercise.mp4	8.0 MB
6. Crash Course Review Exercise.srt	3.7 KB
7. Crash Course Review Exercise - Solutions.mp4	18.2 MB
7. Crash Course Review Exercise - Solutions.srt	9.3 KB
/5. Introduction to Neural Networks/
1. Introduction to Neural Networks.mp4	1.7 MB
1. Introduction to Neural Networks.srt	1.5 KB
1.1 Introduction to NN Slides.html	0.2 KB
10. Manual Creation of Neural Network - Part Four - Session.mp4	26.4 MB
10. Manual Creation of Neural Network - Part Four - Session.srt	13.7 KB
11. Manual Neural Network Classification Task.mp4	42.5 MB
11. Manual Neural Network Classification Task.srt	24.7 KB
2. Introduction to Perceptron.mp4	7.1 MB
2. Introduction to Perceptron.srt	8.0 KB
3. Neural Network Activation Functions.mp4	9.0 MB
3. Neural Network Activation Functions.srt	9.7 KB
4. Cost Functions.mp4	5.2 MB
4. Cost Functions.srt	5.4 KB
5. Gradient Descent Backpropagation.mp4	4.8 MB
5. Gradient Descent Backpropagation.srt	5.4 KB
6. TensorFlow Playground.mp4	28.5 MB
6. TensorFlow Playground.srt	15.7 KB
7. Manual Creation of Neural Network - Part One.mp4	13.1 MB
7. Manual Creation of Neural Network - Part One.srt	8.9 KB
8. Manual Creation of Neural Network - Part Two - Operations.mp4	12.0 MB
8. Manual Creation of Neural Network - Part Two - Operations.srt	11.8 KB
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4	13.9 MB
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt	12.9 KB
/6. TensorFlow Basics/
1. Introduction to TensorFlow.mp4	2.1 MB
1. Introduction to TensorFlow.srt	2.3 KB
1.1 TF Basics Slides.html	0.2 KB
10. TensorFlow Classification Example - Part Two.mp4	33.5 MB
10. TensorFlow Classification Example - Part Two.srt	17.3 KB
11. TF Regression Exercise.mp4	8.4 MB
11. TF Regression Exercise.srt	5.5 KB
12. TF Regression Exercise Solution Walkthrough.mp4	29.1 MB
12. TF Regression Exercise Solution Walkthrough.srt	17.6 KB
13. TF Classification Exercise.mp4	9.4 MB
13. TF Classification Exercise.srt	7.8 KB
14. TF Classification Exercise Solution Walkthrough.mp4	22.8 MB
14. TF Classification Exercise Solution Walkthrough.srt	17.2 KB
15. Saving and Restoring Models.mp4	16.2 MB
15. Saving and Restoring Models.srt	10.4 KB
15.1 Link to notebook.html	0.1 KB
2. TensorFlow Basic Syntax.mp4	19.9 MB
2. TensorFlow Basic Syntax.srt	20.3 KB
3. TensorFlow Graphs.mp4	9.0 MB
3. TensorFlow Graphs.srt	8.8 KB
4. Variables and Placeholders.mp4	13.5 MB
4. Variables and Placeholders.srt	9.2 KB
5. TensorFlow - A Neural Network - Part One.mp4	12.2 MB
5. TensorFlow - A Neural Network - Part One.srt	11.3 KB
6. TensorFlow - A Neural Network - Part Two.mp4	34.1 MB
6. TensorFlow - A Neural Network - Part Two.srt	29.5 KB
7. TensorFlow Regression Example - Part One.mp4	31.5 MB
7. TensorFlow Regression Example - Part One.srt	29.5 KB
8. TensorFlow Regression Example _ Part Two.mp4	60.6 MB
8. TensorFlow Regression Example _ Part Two.srt	33.6 KB
9. TensorFlow Classification Example - Part One.mp4	24.9 MB
9. TensorFlow Classification Example - Part One.srt	20.2 KB
/7. Convolutional Neural Networks/
1. Introduction to Convolutional Neural Network Section.mp4	1.2 MB
1. Introduction to Convolutional Neural Network Section.srt	1.3 KB
1.1 CNN Slides.html	0.2 KB
10. CNN MNIST Code Along - Part One.mp4	27.5 MB
10. CNN MNIST Code Along - Part One.srt	24.1 KB
11. CNN MNIST Code Along - Part Two.mp4	10.1 MB
11. CNN MNIST Code Along - Part Two.srt	7.8 KB
12. Introduction to CNN Project.mp4	16.8 MB
12. Introduction to CNN Project.srt	10.2 KB
13. CNN Project Exercise Solution - Part One.mp4	52.6 MB
13. CNN Project Exercise Solution - Part One.srt	22.9 KB
14. CNN Project Exercise Solution - Part Two.mp4	28.3 MB
14. CNN Project Exercise Solution - Part Two.srt	16.9 KB
2. Review of Neural Networks.mp4	3.6 MB
2. Review of Neural Networks.srt	4.0 KB
3. New Theory Topics.mp4	20.7 MB
3. New Theory Topics.srt	23.0 KB
4. Quick note on MNIST lecture.html	0.1 KB
5. MNIST Data Overview.mp4	6.9 MB
5. MNIST Data Overview.srt	6.5 KB
6. MNIST Basic Approach Part One.mp4	12.7 MB
6. MNIST Basic Approach Part One.srt	13.1 KB
7. MNIST Basic Approach Part Two.mp4	36.6 MB
7. MNIST Basic Approach Part Two.srt	24.4 KB
8. CNN Theory Part One.mp4	27.9 MB
8. CNN Theory Part One.srt	27.9 KB
9. CNN Theory Part Two.mp4	6.9 MB
9. CNN Theory Part Two.srt	6.7 KB
/8. Recurrent Neural Networks/
1. Introduction to RNN Section.mp4	1.6 MB
1. Introduction to RNN Section.srt	1.8 KB
1.1 RNN Slides.html	0.2 KB
10. RNN with TensorFlow - Part Three.mp4	13.3 MB
10. RNN with TensorFlow - Part Three.srt	10.9 KB
11. Time Series Exercise Overview.mp4	14.3 MB
11. Time Series Exercise Overview.srt	12.0 KB
12. Time Series Exercise Solution.mp4	36.8 MB
12. Time Series Exercise Solution.srt	25.1 KB
13. Quick Note on Word2Vec.mp4	6.3 MB
13. Quick Note on Word2Vec.srt	47.1 MB
14. Word2Vec Theory.mp4	17.4 MB
14. Word2Vec Theory.srt	18.6 KB
15. Word2Vec Code Along - Part One.mp4	37.3 MB
15. Word2Vec Code Along - Part One.srt	25.5 KB
16. Word2Vec Part Two.mp4	35.0 MB
16. Word2Vec Part Two.srt	17.2 KB
2. RNN Theory.mp4	10.8 MB
2. RNN Theory.srt	12.3 KB
3. Manual Creation of RNN.mp4	17.5 MB
3. Manual Creation of RNN.srt	16.4 KB
4. Vanishing Gradients.mp4	6.3 MB
4. Vanishing Gradients.srt	6.9 KB
5. LSTM and GRU Theory.mp4	13.5 MB
5. LSTM and GRU Theory.srt	14.8 KB
6. Introduction to RNN with TensorFlow API.mp4	6.6 MB
6. Introduction to RNN with TensorFlow API.srt	7.2 KB
7. RNN with TensorFlow - Part One.mp4	35.8 MB
7. RNN with TensorFlow - Part One.srt	28.2 KB
8. RNN with TensorFlow - Part Two.mp4	31.8 MB
8. RNN with TensorFlow - Part Two.srt	26.6 KB
9. Quick Note on RNN Plotting Part 3.html	1.0 KB
/9. Miscellaneous Topics/
1. Intro to Miscellaneous Topics.html	0.3 KB
1.1 Miscellaneous-Topics.zip	75.8 KB
2. Deep Nets with Tensorflow Abstractions API - Part One.mp4	17.0 MB
2. Deep Nets with Tensorflow Abstractions API - Part One.srt	11.1 KB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4	19.6 MB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt	11.1 KB
4. Deep Nets with Tensorflow Abstractions API - Keras.mp4	35.0 MB
4. Deep Nets with Tensorflow Abstractions API - Keras.srt	18.7 KB
5. Deep Nets with Tensorflow Abstractions API - Layers.mp4	30.1 MB
5. Deep Nets with Tensorflow Abstractions API - Layers.srt	15.6 KB
6. Tensorboard.mp4	41.9 MB
6. Tensorboard.srt	26.3 KB
Total files 203