Deep Learning with Python

François Chollet is a deep learning researcher at Google in Mountain View, California. He created the Keras deep-learning library and contributed to the Tensor Flow machine-learning framework. He also conducts deep-learning research, with a particular interest in computer vision and the application of machine learning to formal reasoning. His papers have appeared in major conferences such as the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), and the International Conference on Learning Representations (ICLR), among others.

In recent years, machine learning has made remarkable progress. We progressed from near-impossible speech and image recognition to near-human accuracy. We progressed from machines incapable of defeating a serious Go player to defeating a world champion. Deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications—is driving this progress.

Deep Learning with Python delves into the field of deep learning by utilizing the Python programming language and the powerful Keras library. This book, written by Keras creator and Google AI researcher François Chollet, will help you understand the technology through intuitive explanations and practical examples. You'll learn difficult concepts and apply them in computer vision, natural-language processing, and generative models. By the end, you'll have the knowledge and hands-on experience to apply deep learning to your own projects.

You'll have a solid understanding of what deep learning is, when it's applicable, and what its limitations are after reading this book. You'll be familiar with the standard workflow for approaching and solving machine-learning problems, as well as how to deal with common problems. Keras can be used to solve real-world problems ranging from computer vision to natural-language processing, such as image classification, timeseries forecasting, sentiment analysis, image and text generation, and more. This book covers neural style transfer, text generation, and image generation.

Author: Francois Chollet

Link to buy: https://www.amazon.com/gp/product/1617294438/

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