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1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4  105.79 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt  8.82 KB
1. Welcome! Course introduction/2. What does the course cover.mp4  16.36 MB
1. Welcome! Course introduction/2. What does the course cover.vtt  5.47 KB
1. Welcome! Course introduction/3. What does the course cover - Quiz.html  161 B

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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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4. Image Processing & Model Training/7. Training a Model.mp4  109.42 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4  107.45 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4  107.17 MB
6. Text Analytics/2. Natural Language Processing.mp4  92.96 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4  87.22 MB

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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4  74.17 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4  69.49 MB
05.Getting Production-Ready with TensorFlow/0503.Debugging and Some Nice Practices in TensorFlow.mp4  68.37 MB
05.Getting Production-Ready with TensorFlow/0504.TensorFlow on Multiple Devices.mp4  55.47 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4  52.65 MB

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3.2. TensorFlow Basics/10.Operations, or ops.mp4  14.98 MB
3.2. TensorFlow Basics/11.Model introduction.mp4  13.51 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4  12.33 MB
3.2. TensorFlow Basics/12.Layers introduction.mp4  12.05 MB
4.3. Exploration of a Full Project/14.Exploration of the dataset.mp4  11.55 MB

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6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4  37.82 MB
1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4  35.65 MB
5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp4  33.16 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4  28.36 MB
6 - Contextual Generative Chatbots/38 - Conclusion.mp4  27.76 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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00009 Working_with_Skip-Gram_Embeddings.mp4  29.09 MB
00007 Working_with_Bag-of-Words.mp4  25.8 MB
00013 Applying_Stylenet_Neural-Style.mp4  24.62 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4  21.16 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4  21.01 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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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4  27.14 MB
5. 4. Training a Model in TensorFlow/16. Log.mp4  25 MB
4. 3. Creating a TensorFlow Model/12. Load the data set.mp4  23.29 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4  19.54 MB
7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4  16.17 MB

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CODE/5582_01_Code/5582_01_02_Code/install.sh  453 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
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4  10.06 MB

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01-The Course Overview.mp4  11.05 MB
02-Installing TensorFlow.mp4  20.55 MB
02-Installing TensorFlow.txt  334 B
03-Simple Computations.mp4  20.41 MB
03-Simple Computations.txt  343 B

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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4  10.7 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4  9.88 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4  14.78 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4  11.08 MB
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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4  10.7 MB
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1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4  11.08 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