Python Artificial Intelligence Projects

Get your next generation intelligent projects up and running with the power of Python

About This Book

• Fast paced guide to master AI concepts to ensure a quality learning experience
• Build practical, real-world AI projects to encounter common challenges in Healthcare, E-commerce, Surveillance, Cyber Security, Customer Service, Self-driving car and more.
• Get to the grips with TensorFlow, Keras, SciPy, Pandas and more to implement efficient and smart artificial intelligence applications

Who This Book Is For

This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and possibilities in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and deep learning concepts are expected to get the most out of the book.

What You Will Learn

• Build intelligent Machine Translation System using sequence to sequence Neural Translation Machines
• Building scalable applications using GAN, Use TensorFlow Capabilities in deploying smart Mobile Apps
• Develop smart AI system to translate videos to text combining the power of Convolutional Neural Networks(CNN) & Recurrent Neural Networks(RNN)
• Combine Matrix Factorization Methods along with Restricted Boltzmann Machines in developing scalable Recommender Systems
• Learn the building blocks of a Smart AI Chatbot and how to integrate, extend them in interesting ways in several domains
• Build smart Image Retrieval Systems using advanced Neural Networks that combines both Recurrent and Convolutional Neural Networks
• Build smart Reinforcement Learning based applications using Q-Learning

In Detail

Artificial Intelligence (AI) is growing rapidly making a computer think intelligently in a similar manner the intelligent humans think. A major thrust of AI is in the development of computer functions associated with human intelligence such as reasoning, problem-solving and intelligent learning. This book will be a perfect companion if you want to build insightful projects from leading AI domains.

The book covers detailed implementation of Projects from all the core disciplines of AI like, Natural Language Based AI Systems, Generative adversarial Networks (GANs) based Applications, Expert Systems, AI-based Mobile Applications, AI Chat bots, Reinforcement Learning and more. These projects use all the modern aspects of Machine Learning, Deep Learning, and Reinforcement learning to solve critical new world challenges. We will be using libraries and frameworks from the Python ecosystem to bring the core aspects of Machine Learning, Deep learning and AI. This book aims to bridge the gap and enables the reader to translate his/her technical know-how into smart and scalable AI systems. Also, the technicalities associated with every application is touched upon in the right proportion so that readers have a seamless transition from the technicalities to the implementation.

By the end of this book, you will be skilled enough to build your own smart models to tackle any kind of problems without any hassle.