Java Deep Learning Cookbook

English | 2019 | ISBN: 1788995201 | 253 Pages | PDF,EPUB,MOBI (True) | 21 MB
Starting by configuring DL4J to run on your GPU-powered machine, this deep learning cookbook will get you up to speed with troubleshooting installation issues. You'll then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you'll pick up on the technique of building a convolutional neural network (CNN) in DL4J, along with understanding how to construct numeric vectors from text. The book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you'll learn to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you'll explore benchmarking in DL4J and optimize neural networks for optimal results.