Browsing “Machine Theory” for "cover" (Showing 1 - 9 of 9 results)

Over 30 recipes for implementing deep neural networks in Python

Explore deep learning concepts and implement over 50 real-world image applications

Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition