Deep Learning -Practical Neural Networks with Java (2017) Gooner
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Deep Learning - Practical Neural Networks with Java (2017) (Pdf) Gooner Publisher: Packt Publishing (8 Jun. 2017) Author: Yusuke Sugomori, Bostjan Kaluza, Fabio M. Soares & Alan M. F. Souza Language: English ISBN-10: 1788470311 ISBN-13: 9781788470315 Build and run intelligent applications by leveraging key Java machine learning libraries About This Book: > Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries. > Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications > This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For: This course is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. What You Will Learn: > Get a practical deep dive into machine learning and deep learning algorithms > Explore neural networks using some of the most popular Deep Learning frameworks > Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms > Apply machine learning to fraud, anomaly, and outlier detection > Experiment with deep learning concepts, algorithms, and the toolbox for deep learning > Select and split data sets into training, test, and validation, and explore validation strategies > Apply the code generated in practical examples, including weather forecasting and pattern recognition