Deep Learning – A Practitioner’s Approach

From this book, you will learn:

  • Dive into machine learning concepts in general, as well as deep learning in particular
  • Understand how deep networks evolved from neural network fundamentals
  • Explore the major deep network architectures, including Convolutional and Recurrent neural networks
  • Learn how to map specific deep network to the right problem
  • Walk through the fundamentals of turning general neural networks and specific deep network architectures
  • Use vectoriztion techniques for different data types with DataVac, DL4J’s workflow tool
  • Learn how to use DL4J natively on Spark and Hadoop