Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

• Get up and running with artificial intelligence in no time using hands-on problem-solving recipes
• Explore popular Python libraries and tools to build AI solutions for images, text, sounds, and images
• Implement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much more

• Implement data preprocessing steps and optimize model hyperparameters
• Delve into representational learning with adversarial autoencoders
• Use active learning, recommenders, knowledge embedding, and SAT solvers
• Get to grips with probabilistic modeling with TensorFlow probability
• Run object detection, text-to-speech conversion, and text and music generation
• Apply swarm algorithms, multi-agent systems, and graph networks
• Go from proof of concept to production by deploying models as microservices
• Understand how to use modern AI in practice

This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You’ll also find this book useful if you’re looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.