Principles And Labs For Deep Learning 1nd Edition (EPUB)

Principles And Labs For Deep Learning 1nd Edition (EPUB)

Written by Shih-Chia Huang

The information and methods in Principles and Labs for Deep Learning enable readers to create and develop deep learning models. Theory is used to teach deep learning techniques, which are then thoroughly illustrated , clarified by Tensor Flow source code examples and examined through result visualization.

Drs. Huang and Le’s structured approaches and labs help readers master Tensor Flow so they can create deep Convolutional Neural Networks (CNNs) using custom APIs , high-level Keras APIs , Keras Applications and Tensor Flow Hub. Every chapter has a lab that corresponds with it, providing step-by-step instructions to help the reader practice and reach a particular learning objective. Numerous domains , including computer vision , audio processing, robotics, natural language processing, and bioinformatics, have effectively used deep learning.

See Also : Real Time Data Acquisition In Human Physiology : Real Time Acquisition , Processing , And Interpretation A MATLAB Based Approach (EPUB)