Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia

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商品描述

Speed up the design and implementation of deep learning solutions using Apache Spark

Key Features

  • Explore the world of distributed deep learning with Apache Spark
  • Train neural networks with deep learning libraries such as BigDL and TensorFlow
  • Develop Spark deep learning applications to intelligently handle large and complex datasets

Book Description

Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark.

The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark.

As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models.

By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases.

What you will learn

  • Understand the basics of deep learning
  • Set up Apache Spark for deep learning
  • Understand the principles of distribution modeling and different types of neural networks
  • Obtain an understanding of deep learning algorithms
  • Discover textual analysis and deep learning with Spark
  • Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras
  • Explore popular deep learning algorithms

Who this book is for

If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

Table of Contents

  1. The Apache Spark Ecosystem
  2. Deep Learning Basics
  3. Extract, Transform, Load
  4. Streaming
  5. Convolutional Neural Networks
  6. Recurrent Neural Networks
  7. Training Neural Networks with Spark
  8. Monitoring and Debugging Neural Network Training
  9. Interpreting Neural Network Output
  10. Deploying on a Distributed System
  11. NLP Basics
  12. Textual Analysis and Deep Learning
  13. Convolution
  14. Image Classification
  15. What's Next for Deep Learning?

商品描述(中文翻譯)

加快使用Apache Spark設計和實施深度學習解決方案的速度

主要特點
- 使用Apache Spark探索分佈式深度學習的世界
- 使用BigDL和TensorFlow等深度學習庫訓練神經網絡
- 開發Spark深度學習應用程序以智能處理大型和複雜的數據集

書籍描述
深度學習是機器學習的一個子集,可以處理具有多層複雜性的數據集。《Hands-On Deep Learning with Apache Spark》解決了技術和分析部分的極高複雜性以及在Apache Spark上實施深度學習解決方案的速度。

本書從Apache Spark和深度學習的基礎知識開始。您將設置Spark進行深度學習,學習分佈式建模原則,並了解不同類型的神經網絡。然後,您將在Spark上實施深度學習模型,例如卷積神經網絡(CNN)、循環神經網絡(RNN)和長短期記憶(LSTM)。

隨著您閱讀本書,您將獲得處理複雜數據集所需的實踐經驗。在本書的過程中,您將使用流行的深度學習框架,如TensorFlow、Deeplearning4j和Keras,來訓練分佈式模型。

通過閱讀本書,您將獲得在各種用例中實施模型的經驗。

學到什麼
- 理解深度學習的基礎知識
- 為深度學習設置Apache Spark
- 理解分佈式建模原則和不同類型的神經網絡
- 理解深度學習算法
- 探索使用Spark進行文本分析和深度學習
- 使用Deeplearning4j、TensorFlow和Keras等流行的深度學習框架
- 探索流行的深度學習算法

本書適合對象
如果您是Scala開發人員、數據科學家或數據分析師,並且想要學習如何使用Spark實施高效的深度學習模型,那麼《Hands-On Deep Learning with Apache Spark》適合您。對機器學習核心概念有一定了解並且對Spark有一定的接觸將會有所幫助。

目錄
1. Apache Spark生態系統
2. 深度學習基礎知識
3. 提取、轉換和加載
4. 流式處理
5. 卷積神經網絡
6. 循環神經網絡
7. 使用Spark訓練神經網絡
8. 監控和調試神經網絡訓練
9. 解釋神經網絡輸出
10. 在分佈式系統上部署
11. NLP基礎知識
12. 文本分析和深度學習
13. 卷積
14. 圖像分類
15. 深度學習的未來展望