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Keras in Motion

UNIT 1 - Installation and Basics
What is Keras 00:03:58
Installation 00:05:03
Fitting Lines 00:06:34
Linear Regression in Keras 00:09:17
Predicting Categories 00:09:55
Logistic Regression in Keras 00:05:08
UNIT 2 - Font Recognition
Exploring Font Data 00:05:48
Neural Networks Review 00:04:01
Neural Networks in Keras 00:05:22
Finding Simple Features 00:07:14
Convolutional Neural Networks in Keras 00:07:32
Visualization and Wrap Up 00:07:13
UNIT 3 - Self Driving Car
Exploring Self Driving Car Data 00:06:29
Simple Steering Model 00:05:02
Convolutional Steering Model 00:07:56
Combined Steering Throttle Model 00:02:46
Summary and Extensions 00:03:22
UNIT 4 - Autoencoders
Introduction to Autoencoders 00:03:47
Autoencoding MNIST Digits 00:07:59
Transfer Learning 00:04:19
Course Review 00:02:38
UNIT 5 - Converting Keras
Converting Keras1 to Keras2 00:03:15

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