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Java Deep Learning Cookbook

You're reading from Java Deep Learning Cookbook

Product type Book

Published in Nov 2019

Publisher Packt

ISBN-13 9781788995207

Pages 304 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Rahul Raj

Table of Contents (14) Chapters

Preface

Introduction to Deep Learning in Java

Data Extraction, Transformation, and Loading

Building Deep Neural Networks for Binary Classification

Building Convolutional Neural Networks

Implementing Natural Language Processing

Constructing an LSTM Network for Time Series

Constructing an LSTM Neural Network for Sequence Classification

Performing Anomaly Detection on Unsupervised Data

Using RL4J for Reinforcement Learning

Developing Applications in a Distributed Environment

Applying Transfer Learning to Network Models

Benchmarking and Neural Network Optimization

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Designing output layers for the neural network model

Output layer design requires an understanding of the expected output. We have CSV data as input, and the output layer relies on the number of labels in the dataset. Output layers are the place where the actual prediction is formed based on the learning process that happened in the hidden layers.

In this recipe, we will design output layers for the neural network.

How to do it...

Determine the incoming/outgoing connections. Set the following:

incoming neurons = outgoing neurons from preceding hidden layer.
 outgoing neurons = number of labels

Configure the output layer for the neural network:

builder.layer(new OutputLayer.Builder(new LossMCXENT(weightsArray)).nIn(incomingConnectionCount...

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Authors (1)

Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.

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