Deep Learning with R Cookbook
This book will help you get through the problems that you face during the execution of different tasks and understand hacks in deep learning. With unique recipes, you will implement various deep learning architectures using R 3.5.x. You will cover complex algorithms to perform tasks such as reinforcement learning, GANs, advanced neural networks and more.
Offered by
Difficulty Level
Intermediate
Completion Time
10h56m
Language
English
About Book
Who Is This Book For?
This deep learning book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to learn key tasks in deep learning domains using a recipe-based approach. A strong understanding of machine learning and working knowledge of the R programming language is mandatory.
Deep Learning with R Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h56m total length
Understanding Neural Networks and Deep Neural Networks
Working with Convolutional Neural Network
Recurrent Neural Networks in Action
Implementing Autoencoders with Keras
Deep Generative Models
Handling Big Data Using Large-Scale Deep Learning
Working with Text and Audio for NLP
Deep Learning for Computer Vision
Implementing Reinforcement Learning
Related Resources
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