Deep Learning with R Cookbook (repost)
Deep Learning with R Cookbook:
Over 45 unique recipes to delve into neural network techniques using R 3.5x
by Swarna Gupta
English | 2020 | ISBN: 1789805678 | 322 Pages | PDF,EPUB | 26 MB
Over 45 unique recipes to delve into neural network techniques using R 3.5x
by Swarna Gupta
English | 2020 | ISBN: 1789805678 | 322 Pages | PDF,EPUB | 26 MB
The book starts with the various DL techniques that you can implement in your apps. A unique set of recipes will help you solve binomial and multinomial classification problems, and perform regression and hyperparameter optimization. To help you gain hands-on experience of concepts, the book features recipes for implementing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Long short-term memory (LSTMs) networks, as well as sequence-to-sequence models and reinforcement learning. You’ll then learn about high-performance computation using GPUs, along with learning about parallel computation capabilities in R. Later, you’ll explore libraries, such as MXNet, that are designed for GPU computing and state-of-the-art DL. Finally, you’ll discover how to solve different problems in NLP, object detection, and action identification, before understanding how to use pre-trained models in DL apps.