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预购价格: ¥78.47
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此电子书将于2019年6月11日自动发送至您的Kindle。

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Mastering Deep Learning with Java: Uncover complex deep learning architectures and bring AI to your distributed JVM environment (English Edition) Kindle电子书

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Kindle电子书
¥78.47

语种: 英语

图书描述

2019年6月11日

Implement and empower java applications with smart neural networks and specialized deep learning techniques

Key Features

  • Build proficiency in CNN's and develop fully connected deep neural networks
  • Explore advanced concepts of deep learning and know-how to plunge them into deep learning systems
  • Implement deep learning models for causal reasoning and planning

Book Description

Mastering Deep Learning with Java brings the utilization of the next-generation capability of deep neural nets and finding patterns in your datasets using powerful deep learning techniques. You will develop the capabilities to address complex deep learning situations using Java's popular and preferred libraries such as Deeplearning4j. You will not just learn but master neural network creation and NLP applications using libraries like Neuroph and CoreNLP. The latter section of the book will teach you to perform optimization of deep learning models with hyperparameters, cross-validation and various other methods to fix up problems faced with the accuracy and the speed of the models.

The book would also cover a couple of examples that would teach you how you can design optimized neural networks in the areas of computer vision, pattern recognition, robots and computer games. By the end of this book, you will be well equipped to utilize the complete capabilities of Java and its packages and would reinforce in strengthening the ingestion of deep learning in your java application

What you will learn

  • Know core aspects and issues in developing and deploying a Deep Learning model
  • Learn Deep Learning architectures for various discriminative tasks such as classification and prediction
  • Learn to visualize hidden states of a sequence model
  • Explore the generative power of a simple sequence model
  • Image generation task with Variational autoencoder
  • Learn to address interpretability of model with a reinforcement learning agent

Who This Book Is For

This book is for experienced Java programmers, data scientists, deep learning engineers and veteran statisticians who want to explore complex neural network architectures and uncover complex deep learning models for building high-precision predictive applications. You need to be well-versed with Java programming coupled with a basic experience in deep learning

About the Author

Ajit studied Computer Science at Indian Institute of Science, Bangalore, and Physics at Madras Christian College. He is a 2018 top writer at Quora where he contributes to topics such as Natural language processing, machine learning, artificial neural networks etc. His past time, which could be classified as typical if not boring is what keeps him going - visiting landmarks of human intellect and understanding them from a layman’s perspective.


基本信息

  • 版本: Kindle电子书
  • 纸书页数: 590
  • 出版社: Packt Publishing (2019年6月11日)
  • 语种: 英语
  • ASIN: B07G7W9XSD
  • 标准语音朗读: 已启用
  • X-Ray:
  • 生词提示功能: 未启用
  • 用户评分: 分享我的评价
  • 亚马逊热销商品排名: Kindle商店商品里排第227,766名 (查看Kindle商店商品销售排行榜)
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