Deep Learning With Keras From Scratch

Summary This book will help you learn and grasp deep learning technology from ground zero with many interesting real world examples using python/keras/tensorflow. It could also be used as a quick guide on how to use and understand deep learning in the real life. Description Artificial Intelligence (AI), Machine Learning especially Deep Learning has made tremendous progress in recent years. It start to spread to all industries. Quote from Andrew Ng, a famous AI researcher: "AI is the new electricity. About 100 years ago, electricity transformed every major industry. AI has advanced to the point where it has the power to transform every major sector in coming years." Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology. This book will help you learn and grasp deep learning technology from ground zero with many interesting real world examples using python/keras/tensorflow. The books could also be used as a quick guide on how to use and understand deep learning in the real life. Readers should have basic knowledge of python, scripting etc. Free lifetime upgrade for later editions ( as an electronic copy ). Please contact author for this. Table of Contents Introduction What is deep learning Deep neural network basic conectps Python and NumPy basic Deep learning development environments MNIST CNN example: A deep dive of how to handle image data Pre-trained model, transfer learning and fine-tuning Recurrent neural network - how to handle sequences data Natural Langauge Processing Optical character recognition Audio processing, speech processing Autoencoder network Deep reinforcement learning Learning from scratch (self-play) AlphaZero How to deploy deep learning model.

• | Author: Benjamin Young
• | Publisher: Independently Published
• | Publication Date: Mar 28, 2019
• | Number of Pages: 415 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1091838828
• | ISBN-13: 9781091838826