Monthly Archives: April 2022

Unity Artificial Intelligence Programming

Key Features Explore the latest Unity features to make AI implementation in your game easier Build richer and more dynamic games using AI concepts such as behavior trees and navigation meshes Implement character behaviors and simulations using the Unity Machine Learning toolkit Book Description: Developing artificial intelligence (AI) for game characters in Unity has never […]

Training Data for Machine Learning

Your training data has as much to do with the success of your data project as the algorithms themselves–most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how […]

Sculpting the Blender Way

Key Features Use Blender’s core sculpting workflows: basic sculpting, Dynotopo, Voxel Remesher, QuadriFlow, and Multiresolution Learn how to use and customize Blender’s sculpting brushes to create fantastic art effortlessly Explore common techniques in Blender 3.0 for creating facial features, clothing, accessories, and more Book Description: Blender 3D is a free and open source program that […]

Blender 3D Incredible Machines

Key Features: Develop realistic and awesome machines for your 3D projects and animation films Gain the ability to look at a piece of machinery in real life and then recreate it in Blender Develop a comprehensive skill set covering key aspects of mechanical modeling Book Description: Blender 3D is one of the top pieces of […]

MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN

Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book Description: Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to […]

Applied Deep Learning with TensorFlow 2

Book Description: Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on […]