Java Deep Learning Cookbook

Java Deep Learning Cookbook
Author :
Publisher : Packt Publishing Ltd
Total Pages : 294
Release :
ISBN-10 : 9781788999472
ISBN-13 : 1788999479
Rating : 4/5 (479 Downloads)

Book Synopsis Java Deep Learning Cookbook by : Rahul Raj

Download or read book Java Deep Learning Cookbook written by Rahul Raj and published by Packt Publishing Ltd. This book was released on 2019-11-08 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Java and Deeplearning4j to build robust, scalable, and highly accurate AI models from scratch Key FeaturesInstall and configure Deeplearning4j to implement deep learning models from scratchExplore recipes for developing, training, and fine-tuning your neural network models in JavaModel neural networks using datasets containing images, text, and time-series dataBook Description Java is one of the most widely used programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently. This book starts by showing you how to install and configure Java and DL4J on your system. You will 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 will discover how to build a convolutional neural network (CNN) in DL4J, and understand how to construct numeric vectors from text. This deep learning 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 will learn how to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you will explore benchmarking in DL4J and optimize neural networks for optimal results. By the end of this book, you will have a clear understanding of how you can use DL4J to build robust deep learning applications in Java. What you will learnPerform data normalization and wrangling using DL4JBuild deep neural networks using DL4JImplement CNNs to solve image classification problemsTrain autoencoders to solve anomaly detection problems using DL4JPerform benchmarking and optimization to improve your model's performanceImplement reinforcement learning for real-world use cases using RL4JLeverage the capabilities of DL4J in distributed systemsWho this book is for If you are a data scientist, machine learning developer, or a deep learning enthusiast who wants to implement deep learning models in Java, this book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to get the most out of this book.

Java Deep Learning Cookbook Related Books

Java Deep Learning Cookbook
Language: en
Pages: 294
Authors: Rahul Raj
Categories: Computers
Type: BOOK - Published: 2019-11-08 - Publisher: Packt Publishing Ltd

GET EBOOK

Use Java and Deeplearning4j to build robust, scalable, and highly accurate AI models from scratch Key FeaturesInstall and configure Deeplearning4j to implement
Java Deep Learning Projects
Language: en
Pages: 428
Authors: Md. Rezaul Karim
Categories: Computers
Type: BOOK - Published: 2018-06-29 - Publisher: Packt Publishing Ltd

GET EBOOK

Build and deploy powerful neural network models using the latest Java deep learning libraries Key Features Understand DL with Java by implementing real-world pr
Java Deep Learning Essentials
Language: en
Pages: 254
Authors: Yusuke Sugomori
Categories: Computers
Type: BOOK - Published: 2016-05-30 - Publisher: Packt Publishing Ltd

GET EBOOK

Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java About This Book
Hands-On Java Deep Learning for Computer Vision
Language: en
Pages: 253
Authors: Klevis Ramo
Categories: Computers
Type: BOOK - Published: 2019-02-21 - Publisher: Packt Publishing Ltd

GET EBOOK

Leverage the power of Java and deep learning to build production-grade Computer Vision applications Key FeaturesBuild real-world Computer Vision applications us
Machine Learning in Java
Language: en
Pages: 290
Authors: AshishSingh Bhatia
Categories: Mathematics
Type: BOOK - Published: 2018-11-28 - Publisher: Packt Publishing Ltd

GET EBOOK

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models Key FeaturesSolve predictive modeling problems usin