Abhishek Nandy – författare

Learn how to build a game using Platino Studio. Follow step-by-step basics to create an app, and then add different functionalities and game logic.With Beginning Platino Game Engine you will be able to develop UWP apps using the Processing JS language. You also will be introduced to Temboo and extending the processing language to IoT.What You'll Learn:Develop using the Platino game engineBuild UWP apps using the Processing JS languageExtend the processing language to IoT with Temboo Who Is this Book for: Indie game developers, app developers interested in games, and students new to the Platino game engine and perhaps new to game development.

Develop apps and games using the Leap Motion sensor. This book starts with a brief introduction to Leap Motion, then covers getting the Leap Motion working and setting up a Leap Motion development environment. Leap Motion for Developers also covers the life cycle of how you interact with Leap Motion and the workflow of making a complete app. You’ll see how to use different programming languages for simple and steady development.The next part of the book walks through the basics of Leap Motion with Python and Java. We will then work on using Leap Motion with Unity, where we will build an app using Unity and then add different functionality to it. In the last part we cover Unreal 4, Processing, and JavaScript for Leap Motion. What You Will LearnLook at the basics of Leap MotionDevelop apps for the Leap Motion sensorSee how different languages work with Leap MotionDiscover the future of Leap MotionWho This Book Is ForStudents, developers, game developers, and tech enthusiasts.

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI  before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. What You'll Learn Absorb the core concepts of the reinforcement learning processUse advanced topics of deep learning and AIWork with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using PythonWho This Book Is ForData scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.

Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform.