绡悆姣旇禌鏁版嵁鍒嗘瀽宸?:Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x

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Posted on 2020-03-03, by books_lover.

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Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies of R deep learning packages to perform a range of deep learning tasks Implement deep learning techniques and algorithms for real-world use cases Explore various state-of-the-art techniques for fine-tuning neural network models Book Description 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 convolu
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