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
