Deep Learning with R for Beginners

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Artificial Intelligence, General Computing
Big bigCover of Deep Learning with R for Beginners

More books from Packt Publishing

bigCover of the book Proxmox High Availability by
bigCover of the book Instant Testing with QUnit by
bigCover of the book Embedded Linux Projects Using Yocto Project Cookbook by
bigCover of the book Three.js Essentials by
bigCover of the book Windows Server 2016 Administration Cookbook by
bigCover of the book IoT Penetration Testing Cookbook by
bigCover of the book Microsoft Hyper-V PowerShell Automation by
bigCover of the book Cocos2d Cross-Platform Game Development Cookbook - Second Edition by
bigCover of the book Learning Ansible 2.7 by
bigCover of the book Scala Reactive Programming by
bigCover of the book Building Virtual Pentesting Labs for Advanced Penetration Testing by
bigCover of the book Node Web Development by
bigCover of the book Implementing VMware vCenter Server by
bigCover of the book jQuery Plugin Development Beginner's Guide by
bigCover of the book Drupal for Education and E-Learning by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy