Java Deep Learning Cookbook

What this book covers

Chapter 1, Introduction to Deep Learning in Java, provides a brief introduction to deep learning using DL4J.

Chapter 2, Data Extraction, Transformation, and Loading, discusses the ETL process for handling data for neural networks with the help of examples.

Chapter 3, Building Deep Neural Networks for Binary Classification, demonstrates how to develop a deep neural network in DL4J in order to solve binary classification problems.

Chapter 4, Building Convolutional Neural Networks, explains how to develop a convolutional neural network in DL4J in order to solve image classification problems.

Chapter 5, Implementing Natural Language Processing, discusses how to develop NLP applications using DL4J.

Chapter 6, Constructing ...