Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x
暫譯: R 深度學習食譜：超過 45 種獨特食譜深入探討使用 R 3.5.x 的神經網絡技術

Swarna Gupta (Author), Rehan Ali Ansari (Author), Dipayan Sarkar (Author)

Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x
  • 出版商: Packt Publishing
  • 出版日期: 2020-02-21
  • 售價: $1,550
  • 貴賓價: 9.5 折 $1,473
  • 語言: 英文
  • 頁數: 328
  • ISBN: 1789805678
  • ISBN-13: 9781789805673
  • 相關分類: R 語言、DeepLearning

    • 立即出貨 (庫存=1)

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商品描述

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.

商品描述(中文翻譯)

深度學習（DL）在近年來隨著生成對抗網絡（GANs）、變分自編碼器（VAEs）和深度強化學習等技術的發展而不斷演進。本書將幫助您使用 R 3.5.x 來實現深度學習技術。

本書首先介紹您可以在應用程式中實現的各種深度學習技術。一組獨特的食譜將幫助您解決二項式和多項式分類問題，並執行回歸和超參數優化。為了幫助您獲得概念的實踐經驗，本書提供了實現卷積神經網絡（CNNs）、遞迴神經網絡（RNNs）和長短期記憶（LSTMs）網絡的食譜，以及序列到序列模型和強化學習。接著，您將學習如何使用 GPU 進行高效能計算，並了解 R 中的並行計算能力。之後，您將探索設計用於 GPU 計算和最先進深度學習的庫，例如 MXNet。最後，您將發現如何解決自然語言處理（NLP）、物體檢測和行動識別等不同問題，並了解如何在深度學習應用中使用預訓練模型。

在本書結束時，您將對深度學習及其相關套件有全面的了解，並能夠為不同的深度學習問題開發有效的解決方案。

作者簡介

Swarna Gupta

Swarna Gupta holds a B.E. in computer science and has 6 years of experience in the data science space. She is currently working with Rolls Royce in the capacity of a data scientist. Her work revolves around leveraging data science and machine learning to create value for the business. She has extensively worked on IoT-based projects in the vehicle telematics and solar manufacturing industries.During her current association with Rolls Royce she worked in various deep learning techniques and solutions to solve fleet issues in aerospace domain. She also manages time from her busy schedule to be a regular pro-bono contributor to social organizations, helping them to solve specific business problems with the help of data science and machine learning.

Rehan Ali Ansari

Rehan has a bachelors in Electrical and Electronics engineering with 5 years of experience in data science and machine learning field. He is currently associated with the digital competency at AP Moller Maersk Group in the capacity of a data scientist. He has a diverse background of working in multiple domains like fashion retail, IoT, renewable energy sector and trade finance. He is a strong believer of agile way of developing data driven machine learning and AI products. Out of his busy schedule he manages to explore new areas in the field of AI and robotics.

Dipayan Sarkar

Dipayan Sarkar holds a Masters in Economics and comes with 17+ years of experience. Dipayan has won international challenges in predictive modeling and takes a keen interest in the mathematics behind machine learning techniques. Before opting to become an independent consultant and a mentor in the data science and machine learning space with various organizations and educational institutions, he had served in the capacity of a senior data scientist with Fortune 500 companies in the US and Europe. He is currently associated with Great Lakes Institute of Management as a visiting faculty (Analytics) and BML Munjal University as an adjunct faculty (Analytics and Machine Learning). He has co-authored a book on "Ensemble Machine Learning with Python" with PACKT Publishing.

作者簡介(中文翻譯)

**Swarna Gupta**

Swarna Gupta 擁有計算機科學的學士學位，並在數據科學領域擁有 6 年的經驗。她目前在 Rolls Royce 擔任數據科學家，工作重點是利用數據科學和機器學習為業務創造價值。她在車輛遠程信息處理和太陽能製造行業的物聯網（IoT）項目中有廣泛的工作經驗。在目前與 Rolls Royce 的合作中，她使用各種深度學習技術和解決方案來解決航空領域的艦隊問題。她還在繁忙的日程中抽出時間，定期為社會組織提供無償貢獻，幫助他們利用數據科學和機器學習解決特定的業務問題。

**Rehan Ali Ansari**

Rehan 擁有電氣與電子工程的學士學位，並在數據科學和機器學習領域擁有 5 年的經驗。他目前在 AP Moller Maersk Group 的數位能力部門擔任數據科學家。他在時尚零售、物聯網（IoT）、可再生能源和貿易金融等多個領域有著多樣的工作背景。他堅信敏捷開發數據驅動的機器學習和人工智慧產品。在繁忙的日程中，他仍然能夠探索人工智慧和機器人領域的新領域。

**Dipayan Sarkar**

Dipayan Sarkar 擁有經濟學碩士學位，並擁有超過 17 年的經驗。Dipayan 在預測建模方面贏得了國際挑戰，對機器學習技術背後的數學有濃厚的興趣。在選擇成為獨立顧問和數據科學及機器學習領域的導師之前，他曾在美國和歐洲的《財富》500 強公司擔任高級數據科學家。目前，他與 Great Lakes Institute of Management 擔任訪問教員（分析）以及 BML Munjal University 擔任兼任教員（分析和機器學習）。他與 PACKT Publishing 共同撰寫了一本名為《使用 Python 的集成機器學習》的書籍。

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