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Title [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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Size 2.28GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[CourseClub.NET].url 123B
[FCS Forum].url 133B
[FreeCourseSite.com].url 127B
1.1 Autoencoder Slides.html 161B
1.1 CNN Slides.html 161B
1.1 Introduction to NN Slides.html 161B
1.1 Miscellaneous-Topics.zip.zip 74.05KB
1.1 ML Overview Slides.html 161B
1.1 Reinforcement Learning Slides.html 161B
1.1 RNN Slides.html 161B
1.1 TF Basics Slides.html 161B
1.2 05-Autoencoders.zip.zip 7.87MB
1.2 06-Reinforcement-Learning-OpenAI.zip.zip 10.58KB
1. Autoencoder Basics.mp4 13.91MB
1. Autoencoder Basics.vtt 11.36KB
1. Bonus Lecture Discounts for for My Other Courses.html 5.79KB
1. Crash Course Section Introduction.mp4 2.15MB
1. Crash Course Section Introduction.vtt 1.72KB
1. Introduction.mp4 11.96MB
1. Introduction.vtt 3.92KB
1. Introduction to Convolutional Neural Network Section.mp4 1.17MB
1. Introduction to Convolutional Neural Network Section.vtt 1.11KB
1. Introduction to GANs.mp4 13.49MB
1. Introduction to GANs.vtt 9.75KB
1. Introduction to Neural Networks.mp4 1.59MB
1. Introduction to Neural Networks.vtt 1.32KB
1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 7.98MB
1. Introduction to Reinforcement Learning with OpenAI Gym.vtt 5.80KB
1. Introduction to RNN Section.mp4 1.57MB
1. Introduction to RNN Section.vtt 1.55KB
1. Introduction to TensorFlow.mp4 1.97MB
1. Introduction to TensorFlow.vtt 1.98KB
1. Intro to Miscellaneous Topics.html 344B
1. Machine Learning Overview.mp4 30.43MB
1. Machine Learning Overview.vtt 23.50KB
1. Quick Note for MacOS and Linux Users.html 2.05KB
10. CNN MNIST Code Along - Part One.mp4 26.21MB
10. CNN MNIST Code Along - Part One.vtt 20.35KB
10. Manual Creation of Neural Network - Part Four - Session.mp4 25.17MB
10. Manual Creation of Neural Network - Part Four - Session.vtt 11.73KB
10. Policy Gradient Code Along Part One.mp4 26.01MB
10. Policy Gradient Code Along Part One.vtt 14.50KB
10. RNN with TensorFlow - Part Three.mp4 12.68MB
10. RNN with TensorFlow - Part Three.vtt 9.29KB
10. TensorFlow Classification Example - Part Two.mp4 31.95MB
10. TensorFlow Classification Example - Part Two.vtt 14.79KB
11. CNN MNIST Code Along - Part Two.mp4 9.65MB
11. CNN MNIST Code Along - Part Two.vtt 6.65KB
11. Manual Neural Network Classification Task.mp4 40.53MB
11. Manual Neural Network Classification Task.vtt 20.95KB
11. Policy Gradient Code Along Part Two.mp4 32.85MB
11. Policy Gradient Code Along Part Two.vtt 14.63KB
11. TF Regression Exercise.mp4 7.96MB
11. TF Regression Exercise.vtt 4.74KB
11. Time Series Exercise Overview.mp4 13.64MB
11. Time Series Exercise Overview.vtt 10.25KB
12. Introduction to CNN Project.mp4 16.06MB
12. Introduction to CNN Project.vtt 8.82KB
12. TF Regression Exercise Solution Walkthrough.mp4 27.76MB
12. TF Regression Exercise Solution Walkthrough.vtt 15.00KB
12. Time Series Exercise Solution.mp4 35.12MB
12. Time Series Exercise Solution.vtt 21.17KB
13. CNN Project Exercise Solution - Part One.mp4 50.16MB
13. CNN Project Exercise Solution - Part One.vtt 19.45KB
13. Quick Note on Word2Vec.mp4 6.06MB
13. Quick Note on Word2Vec.vtt 4.24KB
13. TF Classification Exercise.mp4 8.95MB
13. TF Classification Exercise.vtt 6.68KB
14. CNN Project Exercise Solution - Part Two.mp4 27.02MB
14. CNN Project Exercise Solution - Part Two.vtt 14.34KB
14. TF Classification Exercise Solution Walkthrough.mp4 21.72MB
14. TF Classification Exercise Solution Walkthrough.vtt 14.52KB
14. Word2Vec Theory.mp4 16.56MB
14. Word2Vec Theory.vtt 15.99KB
15.1 Link to notebook.html 145B
15. Saving and Restoring Models.mp4 15.44MB
15. Saving and Restoring Models.vtt 8.85KB
15. Word2Vec Code Along - Part One.mp4 35.53MB
15. Word2Vec Code Along - Part One.vtt 21.56KB
16. Word2Vec Part Two.mp4 33.38MB
16. Word2Vec Part Two.vtt 14.69KB
2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 299.66MB
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 16.39MB
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).vtt 14.47KB
2. Deep Nets with Tensorflow Abstractions API - Part One.mp4 16.26MB
2. Deep Nets with Tensorflow Abstractions API - Part One.vtt 9.58KB
2. Dimensionality Reduction with Linear Autoencoder.mp4 37.58MB
2. Dimensionality Reduction with Linear Autoencoder.vtt 21.97KB
2. Extra Resources for Reinforcement Learning.html 1.24KB
2. GAN Code Along - Part One.mp4 19.50MB
2. GAN Code Along - Part One.vtt 11.53KB
2. Installing TensorFlow Environment.mp4 27.83MB
2. Installing TensorFlow Environment.vtt 17.07KB
2. Introduction to Perceptron.mp4 6.79MB
2. Introduction to Perceptron.vtt 6.84KB
2. NumPy Crash Course.mp4 32.52MB
2. NumPy Crash Course.vtt 20.22KB
2. Review of Neural Networks.mp4 3.40MB
2. Review of Neural Networks.vtt 3.43KB
2. RNN Theory.mp4 10.28MB
2. RNN Theory.vtt 10.64KB
2. TensorFlow Basic Syntax.mp4 18.99MB
2. TensorFlow Basic Syntax.vtt 17.16KB
3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 299.66MB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 18.69MB
3. Deep Nets with Tensorflow Abstractions API - Estimator API.vtt 9.51KB
3. FAQ - Frequently Asked Questions.html 413B
3. GAN Code Along - Part Two.mp4 29.29MB
3. GAN Code Along - Part Two.vtt 14.12KB
3. Introduction to OpenAI Gym.mp4 13.95MB
3. Introduction to OpenAI Gym.vtt 7.87KB
3. Linear Autoencoder PCA Exercise Overview.mp4 6.16MB
3. Linear Autoencoder PCA Exercise Overview.vtt 2.54KB
3. Manual Creation of RNN.mp4 16.64MB
3. Manual Creation of RNN.vtt 13.98KB
3. Neural Network Activation Functions.mp4 8.62MB
3. Neural Network Activation Functions.vtt 8.40KB
3. New Theory Topics.mp4 19.70MB
3. New Theory Topics.vtt 19.71KB
3. Pandas Crash Course.mp4 9.03MB
3. Pandas Crash Course.vtt 5.88KB
3. TensorFlow Graphs.mp4 8.55MB
3. TensorFlow Graphs.vtt 7.53KB
4. Cost Functions.mp4 5.00MB
4. Cost Functions.vtt 4.65KB
4. Data Visualization Crash Course.mp4 19.52MB
4. Data Visualization Crash Course.vtt 10.02KB
4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 33.38MB
4. Deep Nets with Tensorflow Abstractions API - Keras.vtt 15.92KB
4. GAN Code Along - Part Three.mp4 27.56MB
4. GAN Code Along - Part Three.vtt 14.10KB
4. Linear Autoencoder PCA Exercise Solutions.mp4 22.88MB
4. Linear Autoencoder PCA Exercise Solutions.vtt 9.85KB
4. OpenAI Gym Steup.mp4 14.77MB
4. OpenAI Gym Steup.vtt 10.39KB
4. Quick note on MNIST lecture.html 121B
4. Vanishing Gradients.mp4 6.05MB
4. Vanishing Gradients.vtt 5.98KB
4. Variables and Placeholders.mp4 12.85MB
4. Variables and Placeholders.vtt 12.86MB
5. Deep Nets with Tensorflow Abstractions API - Layers.mp4 28.73MB
5. Deep Nets with Tensorflow Abstractions API - Layers.vtt 13.36KB
5. Gradient Descent Backpropagation.mp4 4.60MB
5. Gradient Descent Backpropagation.vtt 4.71KB
5. LSTM and GRU Theory.mp4 12.91MB
5. LSTM and GRU Theory.vtt 12.72KB
5. MNIST Data Overview.mp4 6.57MB
5. MNIST Data Overview.vtt 5.66KB
5. Open AI Gym Env Basics.mp4 9.98MB
5. Open AI Gym Env Basics.vtt 8.16KB
5. SciKit Learn Preprocessing Overview.mp4 20.30MB
5. SciKit Learn Preprocessing Overview.vtt 11.88KB
5. Stacked Autoencoder.mp4 43.93MB
5. Stacked Autoencoder.vtt 24.59KB
5. TensorFlow - A Neural Network - Part One.mp4 11.65MB
5. TensorFlow - A Neural Network - Part One.vtt 9.68KB
6. Crash Course Review Exercise.mp4 7.66MB
6. Crash Course Review Exercise.vtt 3.18KB
6. Introduction to RNN with TensorFlow API.mp4 6.27MB
6. Introduction to RNN with TensorFlow API.vtt 6.22KB
6. MNIST Basic Approach Part One.mp4 12.11MB
6. MNIST Basic Approach Part One.vtt 11.23KB
6. Open AI Gym Observations.mp4 15.36MB
6. Open AI Gym Observations.vtt 11.60KB
6. Tensorboard.mp4 39.96MB
6. Tensorboard.vtt 22.36KB
6. TensorFlow - A Neural Network - Part Two.mp4 32.51MB
6. TensorFlow - A Neural Network - Part Two.vtt 24.94KB
6. TensorFlow Playground.mp4 27.22MB
6. TensorFlow Playground.vtt 13.41KB
7. Crash Course Review Exercise - Solutions.mp4 17.39MB
7. Crash Course Review Exercise - Solutions.vtt 7.88KB
7. Manual Creation of Neural Network - Part One.mp4 12.55MB
7. Manual Creation of Neural Network - Part One.vtt 7.68KB
7. MNIST Basic Approach Part Two.mp4 34.94MB
7. MNIST Basic Approach Part Two.vtt 20.78KB
7. OpenAI Gym Actions.mp4 14.80MB
7. OpenAI Gym Actions.vtt 11.11KB
7. RNN with TensorFlow - Part One.mp4 34.10MB
7. RNN with TensorFlow - Part One.vtt 23.89KB
7. TensorFlow Regression Example - Part One.mp4 30.06MB
7. TensorFlow Regression Example - Part One.vtt 24.95KB
8. CNN Theory Part One.mp4 26.58MB
8. CNN Theory Part One.vtt 23.96KB
8. Manual Creation of Neural Network - Part Two - Operations.mp4 11.41MB
8. Manual Creation of Neural Network - Part Two - Operations.vtt 10.10KB
8. RNN with TensorFlow - Part Two.mp4 30.32MB
8. RNN with TensorFlow - Part Two.vtt 22.55KB
8. Simple Neural Network Game.mp4 35.83MB
8. Simple Neural Network Game.vtt 20.53KB
8. TensorFlow Regression Example _ Part Two.mp4 57.79MB
8. TensorFlow Regression Example _ Part Two.vtt 28.57KB
9. CNN Theory Part Two.mp4 6.55MB
9. CNN Theory Part Two.vtt 5.81KB
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.26MB
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.vtt 10.96KB
9. Policy Gradient Theory.mp4 13.70MB
9. Policy Gradient Theory.vtt 10.50KB
9. Quick Note on RNN Plotting Part 3.html 1020B
9. TensorFlow Classification Example - Part One.mp4 23.77MB
9. TensorFlow Classification Example - Part One.vtt 17.19KB
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