Szczegóły ebooka

Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

Ahmed Sherif, Amrith Ravindra

Ebook
Organizations these days need to integrate popular big data tools such as Apache Spark with highly efficient deep learning libraries if they’re looking to gain faster and more powerful insights from their data. With this book, you’ll discover over 80 recipes to help you train fast, enterprise-grade, deep learning models on Apache Spark.
Each recipe addresses a specific problem, and offers a proven, best-practice solution to difficulties encountered while implementing various deep learning algorithms in a distributed environment. The book follows a systematic approach, featuring a balance of theory and tips with best practice solutions to assist you with training different types of neural networks such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). You’ll also have access to code written in TensorFlow and Keras that you can run on Spark to solve a variety of deep learning problems in computer vision and natural language processing (NLP), or tweak to tackle other problems encountered in deep learning.
By the end of this book, you'll have the skills you need to train and deploy state-of-the-art deep learning models on Apache Spark.
  • 1. Setting Up Spark for Deep Learning Development
  • 2. Creating a Neural Network in Spark
  • 3. Pain Points of Convolutional Neural Networks
  • 4. Pain Points of Recurrent Neural Networks
  • 5. Predicting Fire Department Calls with Spark ML
  • 6. Using LSTMs in Generative Networks
  • 7. Natural Language Processing with TF-IDF
  • 8. Real Estate Value Prediction using XGBoost
  • 9. Predicting Apple Stock Market Cost with LSTM
  • 10. Face Recognition using Deep Convolutional Networks
  • 11. Creating and Visualizing Word Vectors Using Word2Vec
  • 12. Creating a Movie Recommendation Engine with Keras
  • 13. Image Classification with TensorFlow on Spark
  • Tytuł: Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
  • Autor: Ahmed Sherif, Amrith Ravindra
  • Tytuł oryginału: Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
  • ISBN: 9781788471558, 9781788471558
  • Data wydania: 2018-07-13
  • Format: Ebook
  • Identyfikator pozycji: e_14uo
  • Wydawca: Packt Publishing