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Can I read Deep Learning with R Cookbook: Over 45 Unique Recipes to Delve into Neural Network Techniques Using R 3. 5. x on EtoBox?
Deep Learning with R Cookbook: Over 45 Unique Recipes to Delve into Neural Network Techniques Using R 3. 5. x by Ansari, Rehan Ali;Gupta, Swarna;Sarkar, Dipayan is a nonfiction available to read on EtoBox.
What is Deep Learning with R Cookbook: Over 45 Unique Recipes to Delve into Neural Network Techniques Using R 3. 5. x about?
BTackle the complex challenges faced while building end-to-end deep learning models using modern R libraries/b h4Key Features/h4 ulliUnderstand the intricacies of R deep learning packages to perform a range of deep learning tasks /li liImplement deep learning techniques and algorithms for real-world use cases /li liExplore various state-of-the-art techniques for fine-tuning neural network models/li/ul h4Book Description/h4 Deep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning. This book will get you up and running with R 3.5.x to help you implement DL techniques. 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 learn
Who reads Deep Learning with R Cookbook: Over 45 Unique Recipes to Delve into Neural Network Techniques Using R 3. 5. x?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ansari, Rehan Ali;Gupta, Swarna;Sarkar, Dipayan
- Publisher
- Packt Publishing Limited
- Published
- 2020
- Language
- EN
- ISBN
- 9781789808278
- Category
- nonfiction
- Subjects
- Computer Science, Science, Reference
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