Neural Networks with Keras Cookbook

Neural Networks with Keras Cookbook will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network’s accuracy along with leveraging neural networks for structured and unstructured data. (Limited-time offer)

Table of Contents

• Building a Feedforward Neural Network
• Building a Deep Feedforward Neural Network
• Applications of Deep Feedforward Neural Networks
• Building a Deep Convolutional Neural Network
• Transfer Learning
• Detecting and Localizing Objects in Images
• Image Analysis Applications in Self-Driving Cars
• Image Generation
• Encoding Inputs
• Text Analysis Using Word Vectors
• Building a Recurrent Neural Network
• Applications of a Many-to-One Architecture RNN
• Sequence-to-Sequence Learning
• End-to-End Learning
• Audio Analysis
• Reinforcement Learning

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