Deep Learning: A Practitioner’s Approach

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

• 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
• Learn how to map specific deep networks to the right problem
• Walk through the fundamentals of tuning general neural networks and specific deep network architectures