Hands-On Deep Learning with R
Deep learning enables efficient and accurate learning from data. Developers working with R will be able to put their knowledge to work with this practical guide to deep learning. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.
Offered by
Difficulty Level
Intermediate
Completion Time
11h
Language
English
About Book
Who Is This Book For?
This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are looking to enhance their knowledge of deep learning using practical examples. Anyone interested in increasing the efficiency of their machine learning applications and exploring various options in R will also find this book useful. Basic knowledge of machine learning techniques and working knowledge of the R programming language is expected.
Hands-On Deep Learning with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h total length
Machine Learning Basics
Setting Up R for Deep Learning
Artificial Neural Networks
Convolutional Neural Networks for Image Recognition
Multilayer Perceptron Neural Networks for Signal Detection
Neural Collaborative Filtering Using Embeddings
Deep Learning for Natural Language Processing
Long Short-Term Memory Networks for Stock Forecast
Generative Adversarial Networks for Face Generation
Reinforcement Learning for gaming
Deep Q Learning for Maze Solving
Related Resources
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