Deep Learning with Keras [Video]

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Deep Learning with Keras [Video]

Antonio Gulli, Sujit Pal

Get to grips with the basics of Keras to implement fast and efficient deep-learning models

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Video Details

ISBN 139781789138597
Course Length1 hour and 21 minutes

Video Description

Keras is a high-level neural network library written in Python, and runs on top of either Theano or TensorFlow. It is a minimal, highly modular framework that runs on both CPUs and GPUs, and allows you to put your ideas into action in the shortest possible time. This course will help you get started with the basics of Keras, in a highly practical manner.

Style and Approach

This course is an easy-to-follow guide full of examples and real-world applications to help you gain an in-depth understanding of Keras. This course showcases working Deep Neural Networks coded in Python using Keras.

Table of Contents

Neural Networks Foundations
The Course Overview
Perceptron
Building a Network to Recognize Handwritten Numbers
Playing Around with the Parameters to Improve Performance
Keras Installation and API
Installing and Configuring Keras
Keras API
Callbacks for Customizing the Training Process
Deep Learning with Convolutional Networks
Deep Convolutional Neural Network - DCNN
Recognizing CIFAR-10 Images with Deep Learning

What You Will Learn

  • Learn backpropagation
  • Install and configure Keras
  • Understand callbacks and for customizing the process
  • Study deep convolutional neural networks
  • Recognize CIFAR-10 images with deep learning

Authors

Table of Contents

Neural Networks Foundations
The Course Overview
Perceptron
Building a Network to Recognize Handwritten Numbers
Playing Around with the Parameters to Improve Performance
Keras Installation and API
Installing and Configuring Keras
Keras API
Callbacks for Customizing the Training Process
Deep Learning with Convolutional Networks
Deep Convolutional Neural Network - DCNN
Recognizing CIFAR-10 Images with Deep Learning

Video Details

ISBN 139781789138597
Course Length1 hour and 21 minutes
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