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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
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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
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01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4  146.28 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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4. Image Processing & Model Training/7. Training a Model.mp4  109.42 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
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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4  10.7 MB
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