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Get Bonus Downloads Here.url  181 B
~Get Your Files Here !/1 - Introduction/1 - Setting up the Environment.mp4  91.45 MB
~Get Your Files Here !/1 - Introduction/2 - Introduction to Python Tools.mp4  153.47 MB
~Get Your Files Here !/2 - Python Crash Course/10 - Strings 1.mp4  28.89 MB
~Get Your Files Here !/2 - Python Crash Course/11 - Strings 2.mp4  28.84 MB

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Chapter 7 - Recurrent Neural Networks and LSTM/35. Writing Music a la Bach.mp4  44.93 MB
Chapter 1 - Exploring and Transforming data/04. Basic Tensor Methods.mp4  36.91 MB
Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4  31.62 MB
Chapter 1 - Exploring and Transforming data/02. TensorFlow's Main Data Structure Tensors.mp4  27.13 MB
Chapter 3 - Linear Regression/14. Univariate Linear Regression.mp4  25.25 MB

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Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4  31.62 MB
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01 Introduction and Logistics/001 Introduction and Outline.mp4  15.83 MB
01 Introduction and Logistics/002 Where to get the Code.mp4  5.19 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4  14.37 MB
02 Background Review/004 Review Intro.mp4  4.19 MB
02 Background Review/005 Review of Markov Decision Processes.mp4  12.25 MB

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07 Appendix/044 Environment Setup.mp4  43.92 MB
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05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4  20.09 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4  20.03 MB
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17. Appendix/4. Windows-Focused Environment Setup 2018.mp4  186.34 MB
15. PyTorch/1. PyTorch Basics.mp4  116.8 MB
17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4  78.29 MB
17. Appendix/2. What's the difference between neural networks and deep learning.mp4  45.12 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4  43.98 MB

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1 - Getting Started with Deep Learning/Convolutional Neural Network Handwriting Recognition.mp4  22.95 MB
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01 Introduction and Outline/001 Introduction and Outline.mp4  3.27 MB
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01 Introduction and Outline/003 How to Succeed in this Course.mp4  9.52 MB
02 Principal Components Analysis/004 What does PCA do.mp4  11.49 MB
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01 Introduction and Logistics/001 Introduction and Outline.mp4  15.83 MB
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07 Appendix/044 Environment Setup.mp4  43.92 MB
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06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4  20.03 MB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4  4.64 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4  5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4  8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4  11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4  5.83 MB

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01 Outline and Review/001 Introduction and Outline.mp4  2.92 MB
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01 Outline and Review/004 How to Succeed in this Course.mp4  9.52 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4  335.65 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4  323.61 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4  312.61 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4  282.26 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4  276.57 MB

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1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4  152.41 MB
13. Deployment/7. Flask Front End.mp4  149.59 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4  149.33 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4  148.08 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4  144.18 MB

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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4  5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4  8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4  11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4  5.83 MB
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0. Websites you may like/[Tutorialsplanet.NET].url  128 B
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01 Outline and Review/001 Introduction and Outline.mp4  2.92 MB
01 Outline and Review/002 Review of Important Concepts.mp4  5.72 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4  5.59 MB
01 Outline and Review/004 How to Succeed in this Course.mp4  9.52 MB
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Get Bonus Downloads Here.url  181 B
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4  39.96 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt  9.15 KB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4  92.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt  12.49 KB