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Deep Learning with R Cookbook

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Deep Learning with R Cookbook Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar - okładka książki

Deep Learning with R Cookbook Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar - okładka książki

Deep Learning with R Cookbook Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar - okładka audiobooka MP3

Deep Learning with R Cookbook Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar - okładka audiobooks CD

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328
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Ebook

149,00 zł

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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 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.

By the end of this book, you'll have comprehensive knowledge of DL and DL packages, and be able to develop effective solutions for different DL problems.

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0 Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar

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