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Deep Learning: Practical Neural Networks with Java Table of Contents Deep Learning: Practical Neural Networks with Java Deep Learning: Practical Neural Networks with Java Credits Preface What this learning path covers What you need for this learning path Who this learning path is for Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. Java Deep Learning Essentials 1. Deep Learning Overview Transition of AI Definition of AI AI booms in the past Machine learning evolves What even machine learning cannot do Things dividing a machine and human AI and deep learning Summary 2. Algorithms for Machine Learning – Preparing for Deep Learning Getting started The need for training in machine learning Supervised and unsupervised learning Support Vector Machine (SVM) Hidden Markov Model (HMM) Neural networks Logistic regression Reinforcement learning Machine learning application flow Theories and algorithms of neural networks Perceptrons (single-layer neural networks) Logistic regression Multi-class logistic regression Multi-layer perceptrons (multi-layer neural networks) Summary 3. Deep Belief Nets and ......

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