Deep training and Tensorflow for professionals. A mathematical approach to building artificial intelligence systems on Python. Pattanyak Santan

This book is an in -depth practical guide, which will allow readers to master the methods of deep learning at a level sufficient for the deployment of ready -made solutions. After reading the book, you can quickly start working with the Tensorflow library and start optimizing deep education architectures.

The book covers all practical aspects of deep learning that are essential for any industry. The prototypes considered can be directly used to create new deep training applications. The program code presented in the book is available in the form of iPython notebooks and scenarios that allow you to easily reproduce examples and experiment with them. Armed with the knowledge gained, you can conduct your own research in this area and share ideas with the community that have arisen.