by Antonio Gulli, Sujit Pal | Released January 2018 | ISBN: 9781789138597

Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsAbout This VideoImplement various deep-learning algorithms in KerasSee how various deep-learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasIn DetailKeras 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. Show and hide more

1. Chapter 1 : Neural Networks Foundations
   • The Course Overview 00:03:09
   • Perceptron 00:04:13
   • Building a Network to Recognize Handwritten Numbers 00:18:55
   • Playing Around with the Parameters to Improve Performance 00:10:07
2. Chapter 2 : Keras Installation and API
   • Installing and Configuring Keras 00:09:58
   • Keras API 00:05:49
   • Callbacks for Customizing the Training Process 00:03:22
3. Chapter 3 : Callbacks for Customizing the Training Process
   • Deep Convolutional Neural Network - DCNN 00:11:37
   • Recognizing CIFAR-10 Images with Deep Learning 00:13:59
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