PythonDeepLearning

Python Deep Learning Table of Contents Python Deep Learning Credits About the Authors About the Reviewer www.PacktPub.com eBooks, discount offers, and more Why subscribe? Customer Feedback Preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Downloading the color images of this book Errata Piracy Questions 1. Machine Learning – An Introduction What is machine learning? Different machine learning approaches Supervised learning Unsupervised learning Reinforcement learning Steps Involved in machine learning systems Brief description of popular techniques/algorithms Linear regression Decision trees K-means Naïve Bayes Support vector machines The cross-entropy method Neural networks Deep learning Applications in real life A popular open source package Summary 2. Neural Networks Why neural networks? Fundamentals Neurons and layers Different types of activation function The back-propagation algorithm Linear regression Logistic regression Back-propagation Applications in industry Signal processing Medical Autonomous car driving Bu......