Python Deep Learning Cookbook Bakker Indra DenPaperback

Deep Learning is revolutionizing a wide range of industries For many applications deep learning has proven to outperform humans by making faster and more accurate predictions This book provides a top down and bottom up approach to demonstrate deep learning solutions to real world problems in different areas These applications include Computer Vision Natural Language Processing Time Series and Robotics The Python Deep Learning Cookbook presents technical solutions to the issues presented along with a detailed explanation of the solutions Furthermore a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow PyTorch Keras and CNTK is provided The book includes recipes that are related to the basic concepts of neural networks All techniques s as well as classical networks topologies The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not so common scenarios