Tutorialsplanet NET Udemy Complete Guide to TensorFlow for Deep Learning with Python

Tutorialsplanet NET Udemy Complete Guide to TensorFlow for Deep Learning with Python

Name	[Tutorialsplanet.NET] Udemy - Complete Guide to TensorFlow for Deep Learning with Python	DOWNLOAD Copy Link
Total Size	2.4 GB
Total Files	199
Hash	E9FDB0262701677FA09ADA552423E056B7049E08

/1. Introduction/
1. Introduction.mp4	12.5 MB
1. Introduction.vtt	4.0 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 ).vtt	14.8 KB
2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip	314.2 MB
3. FAQ - Frequently Asked Questions.html	0.4 KB
3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip	314.2 MB
/10. AutoEncoders/
1. Autoencoder Basics.mp4	14.6 MB
1. Autoencoder Basics.vtt	11.6 KB
1.1 Autoencoder Slides.html	0.2 KB
1.2 05-Autoencoders.zip.zip	8.3 MB
2. Dimensionality Reduction with Linear Autoencoder.mp4	39.4 MB
2. Dimensionality Reduction with Linear Autoencoder.vtt	22.5 KB
3. Linear Autoencoder PCA Exercise Overview.mp4	6.5 MB
3. Linear Autoencoder PCA Exercise Overview.vtt	2.6 KB
4. Linear Autoencoder PCA Exercise Solutions.mp4	24.0 MB
4. Linear Autoencoder PCA Exercise Solutions.vtt	10.1 KB
5. Stacked Autoencoder.mp4	46.1 MB
5. Stacked Autoencoder.vtt	25.2 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.vtt	5.9 KB
1.1 06-Reinforcement-Learning-OpenAI.zip.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.vtt	14.9 KB
11. Policy Gradient Code Along Part Two.mp4	34.5 MB
11. Policy Gradient Code Along Part Two.vtt	15.0 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.vtt	8.1 KB
4. OpenAI Gym Steup.mp4	15.5 MB
4. OpenAI Gym Steup.vtt	10.6 KB
5. Open AI Gym Env Basics.mp4	10.5 MB
5. Open AI Gym Env Basics.vtt	8.4 KB
6. Open AI Gym Observations.mp4	16.1 MB
6. Open AI Gym Observations.vtt	11.9 KB
7. OpenAI Gym Actions.mp4	15.5 MB
7. OpenAI Gym Actions.vtt	11.4 KB
8. Simple Neural Network Game.mp4	37.6 MB
8. Simple Neural Network Game.vtt	21.0 KB
9. Policy Gradient Theory.mp4	14.4 MB
9. Policy Gradient Theory.vtt	10.8 KB
/12. GAN - Generative Adversarial Networks/
1. Introduction to GANs.mp4	14.2 MB
1. Introduction to GANs.vtt	10.0 KB
2. GAN Code Along - Part One.mp4	20.4 MB
2. GAN Code Along - Part One.vtt	11.8 KB
3. GAN Code Along - Part Two.mp4	30.7 MB
3. GAN Code Along - Part Two.vtt	14.5 KB
4. GAN Code Along - Part Three.mp4	28.9 MB
4. GAN Code Along - Part Three.vtt	14.4 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.vtt	17.5 KB
/3. What is Machine Learning/
1. Machine Learning Overview.mp4	31.9 MB
1. Machine Learning Overview.vtt	24.1 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.vtt	1.8 KB
2. NumPy Crash Course.mp4	34.1 MB
2. NumPy Crash Course.vtt	20.7 KB
3. Pandas Crash Course.mp4	9.5 MB
3. Pandas Crash Course.vtt	6.0 KB
4. Data Visualization Crash Course.mp4	20.5 MB
4. Data Visualization Crash Course.vtt	10.3 KB
5. SciKit Learn Preprocessing Overview.mp4	21.3 MB
5. SciKit Learn Preprocessing Overview.vtt	12.2 KB
6. Crash Course Review Exercise.mp4	8.0 MB
6. Crash Course Review Exercise.vtt	3.3 KB
7. Crash Course Review Exercise - Solutions.mp4	18.2 MB
7. Crash Course Review Exercise - Solutions.vtt	8.1 KB
/5. Introduction to Neural Networks/
1. Introduction to Neural Networks.mp4	1.7 MB
1. Introduction to Neural Networks.vtt	1.3 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.vtt	12.0 KB
11. Manual Neural Network Classification Task.mp4	42.5 MB
11. Manual Neural Network Classification Task.vtt	21.5 KB
2. Introduction to Perceptron.mp4	7.1 MB
2. Introduction to Perceptron.vtt	7.0 KB
3. Neural Network Activation Functions.mp4	9.0 MB
3. Neural Network Activation Functions.vtt	8.6 KB
4. Cost Functions.mp4	5.2 MB
4. Cost Functions.vtt	4.8 KB
5. Gradient Descent Backpropagation.mp4	4.8 MB
5. Gradient Descent Backpropagation.vtt	4.8 KB
6. TensorFlow Playground.mp4	28.5 MB
6. TensorFlow Playground.vtt	13.7 KB
7. Manual Creation of Neural Network - Part One.mp4	13.2 MB
7. Manual Creation of Neural Network - Part One.vtt	7.9 KB
8. Manual Creation of Neural Network - Part Two - Operations.mp4	12.0 MB
8. Manual Creation of Neural Network - Part Two - Operations.vtt	10.3 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.vtt	11.2 KB
/6. TensorFlow Basics/
1. Introduction to TensorFlow.mp4	2.1 MB
1. Introduction to TensorFlow.vtt	2.0 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.vtt	15.2 KB
11. TF Regression Exercise.mp4	8.4 MB
11. TF Regression Exercise.vtt	4.9 KB
12. TF Regression Exercise Solution Walkthrough.mp4	29.1 MB
12. TF Regression Exercise Solution Walkthrough.vtt	15.4 KB
13. TF Classification Exercise.mp4	9.4 MB
13. TF Classification Exercise.vtt	6.8 KB
14. TF Classification Exercise Solution Walkthrough.mp4	22.8 MB
14. TF Classification Exercise Solution Walkthrough.vtt	14.9 KB
15. Saving and Restoring Models.mp4	16.2 MB
15. Saving and Restoring Models.vtt	9.1 KB
15.1 Link to notebook.html	0.1 KB
2. TensorFlow Basic Syntax.mp4	19.9 MB
2. TensorFlow Basic Syntax.vtt	17.6 KB
3. TensorFlow Graphs.mp4	9.0 MB
3. TensorFlow Graphs.vtt	7.7 KB
4. Variables and Placeholders.mp4	13.5 MB
4. Variables and Placeholders.vtt	8.0 KB
5. TensorFlow - A Neural Network - Part One.mp4	12.2 MB
5. TensorFlow - A Neural Network - Part One.vtt	9.9 KB
6. TensorFlow - A Neural Network - Part Two.mp4	34.1 MB
6. TensorFlow - A Neural Network - Part Two.vtt	25.5 KB
7. TensorFlow Regression Example - Part One.mp4	31.5 MB
7. TensorFlow Regression Example - Part One.vtt	25.5 KB
8. TensorFlow Regression Example _ Part Two.mp4	60.6 MB
8. TensorFlow Regression Example _ Part Two.vtt	29.3 KB
9. TensorFlow Classification Example - Part One.mp4	24.9 MB
9. TensorFlow Classification Example - Part One.vtt	17.6 KB
/7. Convolutional Neural Networks/
1. Introduction to Convolutional Neural Network Section.mp4	1.2 MB
1. Introduction to Convolutional Neural Network Section.vtt	1.1 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.vtt	20.8 KB
11. CNN MNIST Code Along - Part Two.mp4	10.1 MB
11. CNN MNIST Code Along - Part Two.vtt	6.8 KB
12. Introduction to CNN Project.mp4	16.8 MB
12. Introduction to CNN Project.vtt	9.0 KB
13. CNN Project Exercise Solution - Part One.mp4	52.6 MB
13. CNN Project Exercise Solution - Part One.vtt	19.9 KB
14. CNN Project Exercise Solution - Part Two.mp4	28.3 MB
14. CNN Project Exercise Solution - Part Two.vtt	14.7 KB
2. Review of Neural Networks.mp4	3.6 MB
2. Review of Neural Networks.vtt	3.5 KB
3. New Theory Topics.mp4	20.7 MB
3. New Theory Topics.vtt	20.2 KB
4. Quick note on MNIST lecture.html	0.1 KB
5. MNIST Data Overview.mp4	6.9 MB
5. MNIST Data Overview.vtt	5.8 KB
6. MNIST Basic Approach Part One.mp4	12.7 MB
6. MNIST Basic Approach Part One.vtt	11.5 KB
7. MNIST Basic Approach Part Two.mp4	36.6 MB
7. MNIST Basic Approach Part Two.vtt	21.3 KB
8. CNN Theory Part One.mp4	27.9 MB
8. CNN Theory Part One.vtt	24.5 KB
9. CNN Theory Part Two.mp4	6.9 MB
9. CNN Theory Part Two.vtt	5.9 KB
/8. Recurrent Neural Networks/
1. Introduction to RNN Section.mp4	1.6 MB
1. Introduction to RNN Section.vtt	1.6 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.vtt	9.5 KB
11. Time Series Exercise Overview.mp4	14.3 MB
11. Time Series Exercise Overview.vtt	10.5 KB
12. Time Series Exercise Solution.mp4	36.8 MB
12. Time Series Exercise Solution.vtt	21.7 KB
13. Quick Note on Word2Vec.mp4	6.3 MB
13. Quick Note on Word2Vec.vtt	4.3 KB
14. Word2Vec Theory.mp4	17.4 MB
14. Word2Vec Theory.vtt	16.4 KB
15. Word2Vec Code Along - Part One.mp4	37.3 MB
15. Word2Vec Code Along - Part One.vtt	22.1 KB
16. Word2Vec Part Two.mp4	35.0 MB
16. Word2Vec Part Two.vtt	15.0 KB
2. RNN Theory.mp4	10.8 MB
2. RNN Theory.vtt	10.9 KB
3. Manual Creation of RNN.mp4	17.5 MB
3. Manual Creation of RNN.vtt	14.3 KB
4. Vanishing Gradients.mp4	6.4 MB
4. Vanishing Gradients.vtt	6.1 KB
5. LSTM and GRU Theory.mp4	13.5 MB
5. LSTM and GRU Theory.vtt	13.0 KB
6. Introduction to RNN with TensorFlow API.mp4	6.6 MB
6. Introduction to RNN with TensorFlow API.vtt	6.4 KB
7. RNN with TensorFlow - Part One.mp4	35.7 MB
7. RNN with TensorFlow - Part One.vtt	24.5 KB
8. RNN with TensorFlow - Part Two.mp4	31.8 MB
8. RNN with TensorFlow - Part Two.vtt	23.1 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.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.vtt	9.8 KB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4	19.6 MB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.vtt	9.7 KB
4. Deep Nets with Tensorflow Abstractions API - Keras.mp4	35.0 MB
4. Deep Nets with Tensorflow Abstractions API - Keras.vtt	16.3 KB
5. Deep Nets with Tensorflow Abstractions API - Layers.mp4	30.1 MB
5. Deep Nets with Tensorflow Abstractions API - Layers.vtt	13.7 KB
6. Tensorboard.mp4	41.9 MB
6. Tensorboard.vtt	22.9 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 199