- Category: Python Programming
- Author: Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants
- Pages: 368 pages
- File type: PDF
Read and download free eBook intituled Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis in format PDF – 368 pages created by Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants.
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. This book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.
Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google’s TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.
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Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis