TGx:[UdemyCourseDownloader] Complete Guide to TensorFlow for Deep Learning with Python

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[UdemyCourseDownloader] Complete Guide to TensorFlow for Deep Learning with Python

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2.27 GB

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kirat1h

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17-12-2018 16:24

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File	Size
01. Introduction/1. Introduction.mp4	11.95 MB
01. Introduction/1. Introduction.vtt	3.92 kB
01. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4	16.38 MB
01. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).vtt	14.47 kB
01. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip	299.65 MB
01. Introduction/3. FAQ - Frequently Asked Questions.html	413.00 B
01. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip	299.65 MB
02. Installation and Setup/1. Quick Note for MacOS and Linux Users.html	2.05 kB
02. Installation and Setup/2. Installing TensorFlow Environment.mp4	27.82 MB
02. Installation and Setup/2. Installing TensorFlow Environment.vtt	17.07 kB
03. What is Machine Learning/1. Machine Learning Overview.mp4	30.43 MB
03. What is Machine Learning/1. Machine Learning Overview.vtt	23.50 kB
03. What is Machine Learning/1.1 ML Overview Slides.html	161.00 B
04. Crash Course Overview/1. Crash Course Section Introduction.mp4	2.15 MB
04. Crash Course Overview/1. Crash Course Section Introduction.vtt	1.72 kB
04. Crash Course Overview/2. NumPy Crash Course.mp4	32.51 MB
04. Crash Course Overview/2. NumPy Crash Course.vtt	20.22 kB
04. Crash Course Overview/3. Pandas Crash Course.mp4	9.02 MB
04. Crash Course Overview/3. Pandas Crash Course.vtt	5.88 kB
04. Crash Course Overview/4. Data Visualization Crash Course.mp4	19.51 MB
04. Crash Course Overview/4. Data Visualization Crash Course.vtt	10.02 kB
04. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp4	20.29 MB
04. Crash Course Overview/5. SciKit Learn Preprocessing Overview.vtt	11.88 kB
04. Crash Course Overview/6. Crash Course Review Exercise.mp4	7.66 MB
04. Crash Course Overview/6. Crash Course Review Exercise.vtt	3.18 kB
04. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp4	17.39 MB
04. Crash Course Overview/7. Crash Course Review Exercise - Solutions.vtt	7.88 kB
05. Introduction to Neural Networks/1. Introduction to Neural Networks.mp4	1.59 MB
05. Introduction to Neural Networks/1. Introduction to Neural Networks.vtt	1.32 kB
05. Introduction to Neural Networks/1.1 Introduction to NN Slides.html	161.00 B
05. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp4	25.16 MB
05. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.vtt	11.73 kB
05. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4	40.52 MB
05. Introduction to Neural Networks/11. Manual Neural Network Classification Task.vtt	20.95 kB
05. Introduction to Neural Networks/2. Introduction to Perceptron.mp4	6.79 MB
05. Introduction to Neural Networks/2. Introduction to Perceptron.vtt	6.84 kB
05. Introduction to Neural Networks/3. Neural Network Activation Functions.mp4	8.62 MB
05. Introduction to Neural Networks/3. Neural Network Activation Functions.vtt	8.40 kB
05. Introduction to Neural Networks/4. Cost Functions.mp4	4.99 MB
05. Introduction to Neural Networks/4. Cost Functions.vtt	4.65 kB
05. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp4	4.60 MB
05. Introduction to Neural Networks/5. Gradient Descent Backpropagation.vtt	4.71 kB
05. Introduction to Neural Networks/6. TensorFlow Playground.mp4	27.22 MB
05. Introduction to Neural Networks/6. TensorFlow Playground.vtt	13.41 kB
05. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp4	12.54 MB
05. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.vtt	7.68 kB
05. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp4	11.41 MB
05. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.vtt	10.10 kB
05. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4	13.26 MB
05. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.vtt	10.96 kB
06. TensorFlow Basics/1. Introduction to TensorFlow.mp4	1.97 MB
06. TensorFlow Basics/1. Introduction to TensorFlow.vtt	1.98 kB
06. TensorFlow Basics/1.1 TF Basics Slides.html	161.00 B
06. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4	31.94 MB
06. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.vtt	14.79 kB
06. TensorFlow Basics/11. TF Regression Exercise.mp4	7.96 MB
06. TensorFlow Basics/11. TF Regression Exercise.vtt	4.74 kB
06. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp4	27.76 MB
06. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.vtt	15.00 kB
06. TensorFlow Basics/13. TF Classification Exercise.mp4	8.95 MB
06. TensorFlow Basics/13. TF Classification Exercise.vtt	6.68 kB
06. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp4	21.72 MB
06. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.vtt	14.52 kB
06. TensorFlow Basics/15. Saving and Restoring Models.mp4	15.44 MB
06. TensorFlow Basics/15. Saving and Restoring Models.vtt	8.85 kB
06. TensorFlow Basics/15.1 Link to notebook.html	145.00 B
06. TensorFlow Basics/2. TensorFlow Basic Syntax.mp4	18.99 MB
06. TensorFlow Basics/2. TensorFlow Basic Syntax.vtt	17.16 kB
06. TensorFlow Basics/3. TensorFlow Graphs.mp4	8.54 MB
06. TensorFlow Basics/3. TensorFlow Graphs.vtt	7.53 kB
06. TensorFlow Basics/4. Variables and Placeholders.mp4	12.84 MB
06. TensorFlow Basics/4. Variables and Placeholders.vtt	7.84 kB
06. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp4	11.64 MB
06. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.vtt	9.68 kB
06. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4	32.51 MB
06. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.vtt	24.94 kB
06. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp4	30.06 MB
06. TensorFlow Basics/7. TensorFlow Regression Example - Part One.vtt	24.95 kB
06. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4	57.79 MB
06. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.vtt	28.57 kB
06. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp4	23.76 MB
06. TensorFlow Basics/9. TensorFlow Classification Example - Part One.vtt	17.19 kB
07. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp4	1.17 MB
07. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.vtt	1.11 kB
07. Convolutional Neural Networks/1.1 CNN Slides.html	161.00 B
07. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp4	26.21 MB
07. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.vtt	20.35 kB
07. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp4	9.65 MB
07. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.vtt	6.65 kB
07. Convolutional Neural Networks/12. Introduction to CNN Project.mp4	16.06 MB
07. Convolutional Neural Networks/12. Introduction to CNN Project.vtt	8.82 kB
07. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4	50.15 MB
07. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.vtt	19.45 kB
07. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp4	27.01 MB
07. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.vtt	14.34 kB
07. Convolutional Neural Networks/2. Review of Neural Networks.mp4	3.39 MB
07. Convolutional Neural Networks/2. Review of Neural Networks.vtt	3.43 kB
07. Convolutional Neural Networks/3. New Theory Topics.mp4	19.70 MB
07. Convolutional Neural Networks/3. New Theory Topics.vtt	19.71 kB
07. Convolutional Neural Networks/4. Quick note on MNIST lecture.html	121.00 B
07. Convolutional Neural Networks/5. MNIST Data Overview.mp4	6.57 MB
07. Convolutional Neural Networks/5. MNIST Data Overview.vtt	5.66 kB
07. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp4	12.11 MB
07. Convolutional Neural Networks/6. MNIST Basic Approach Part One.vtt	11.23 kB
07. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4	34.94 MB
07. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.vtt	20.78 kB
07. Convolutional Neural Networks/8. CNN Theory Part One.mp4	26.57 MB
07. Convolutional Neural Networks/8. CNN Theory Part One.vtt	23.96 kB
07. Convolutional Neural Networks/9. CNN Theory Part Two.mp4	6.55 MB
07. Convolutional Neural Networks/9. CNN Theory Part Two.vtt	5.81 kB
08. Recurrent Neural Networks/1. Introduction to RNN Section.mp4	1.57 MB
08. Recurrent Neural Networks/1. Introduction to RNN Section.vtt	1.55 kB
08. Recurrent Neural Networks/1.1 RNN Slides.html	161.00 B
08. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp4	12.67 MB
08. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.vtt	9.29 kB
08. Recurrent Neural Networks/11. Time Series Exercise Overview.mp4	13.64 MB
08. Recurrent Neural Networks/11. Time Series Exercise Overview.vtt	10.25 kB
08. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4	35.12 MB
08. Recurrent Neural Networks/12. Time Series Exercise Solution.vtt	21.17 kB
08. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp4	6.05 MB
08. Recurrent Neural Networks/13. Quick Note on Word2Vec.vtt	4.24 kB
08. Recurrent Neural Networks/14. Word2Vec Theory.mp4	16.55 MB
08. Recurrent Neural Networks/14. Word2Vec Theory.vtt	15.99 kB
08. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4	35.53 MB
08. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.vtt	21.56 kB
08. Recurrent Neural Networks/16. Word2Vec Part Two.mp4	33.38 MB
08. Recurrent Neural Networks/16. Word2Vec Part Two.vtt	14.69 kB
08. Recurrent Neural Networks/2. RNN Theory.mp4	10.28 MB
08. Recurrent Neural Networks/2. RNN Theory.vtt	10.64 kB
08. Recurrent Neural Networks/3. Manual Creation of RNN.mp4	16.64 MB
08. Recurrent Neural Networks/3. Manual Creation of RNN.vtt	13.98 kB
08. Recurrent Neural Networks/4. Vanishing Gradients.mp4	6.05 MB
08. Recurrent Neural Networks/4. Vanishing Gradients.vtt	5.98 kB
08. Recurrent Neural Networks/5. LSTM and GRU Theory.mp4	12.91 MB
08. Recurrent Neural Networks/5. LSTM and GRU Theory.vtt	12.72 kB
08. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp4	6.26 MB
08. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.vtt	6.22 kB
08. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4	34.09 MB
08. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.vtt	23.89 kB
08. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp4	30.32 MB
08. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.vtt	22.55 kB
08. Recurrent Neural Networks/9. Quick Note on RNN Plotting Part 3.html	1,020.00 B
09. Miscellaneous Topics/1. Intro to Miscellaneous Topics.html	344.00 B
09. Miscellaneous Topics/1.1 Miscellaneous-Topics.zip.zip	74.05 kB
09. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp4	16.25 MB
09. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.vtt	9.58 kB
09. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4	18.69 MB
09. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.vtt	9.51 kB
09. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4	33.37 MB
09. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.vtt	15.92 kB
09. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp4	28.72 MB
09. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.vtt	13.36 kB
09. Miscellaneous Topics/6. Tensorboard.mp4	39.96 MB
09. Miscellaneous Topics/6. Tensorboard.vtt	22.36 kB
10. AutoEncoders/1. Autoencoder Basics.mp4	13.91 MB
10. AutoEncoders/1. Autoencoder Basics.vtt	11.36 kB
10. AutoEncoders/1.1 Autoencoder Slides.html	161.00 B
10. AutoEncoders/1.2 05-Autoencoders.zip.zip	7.87 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4	37.58 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.vtt	21.97 kB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp4	6.15 MB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.vtt	2.54 kB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp4	22.88 MB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.vtt	9.85 kB
10. AutoEncoders/5. Stacked Autoencoder.mp4	43.92 MB
10. AutoEncoders/5. Stacked Autoencoder.vtt	24.59 kB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp4	7.98 MB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.vtt	5.80 kB
11. Reinforcement Learning with OpenAI Gym/1.1 06-Reinforcement-Learning-OpenAI.zip.zip	10.58 kB
11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html	161.00 B
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp4	26.00 MB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.vtt	14.50 kB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4	32.85 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.vtt	14.63 kB
11. Reinforcement Learning with OpenAI Gym/2. Extra Resources for Reinforcement Learning.html	1.24 kB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp4	13.94 MB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.vtt	7.87 kB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp4	14.77 MB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.vtt	10.39 kB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp4	9.97 MB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.vtt	8.16 kB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp4	15.36 MB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.vtt	11.60 kB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp4	14.79 MB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.vtt	11.11 kB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4	35.82 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.vtt	20.53 kB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp4	13.70 MB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.vtt	10.50 kB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp4	13.49 MB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.vtt	9.75 kB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp4	19.49 MB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.vtt	11.53 kB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp4	29.28 MB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.vtt	14.12 kB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp4	27.56 MB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.vtt	14.10 kB
13. BONUS/1. Bonus Lecture Discounts for for My Other Courses.html	5.79 kB
Udemy Course downloader.txt	94.00 B
udemycoursedownloader.com.url	132.00 B

Description

Description
Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!