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1866 books were found.
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner About This Book • Get a... Read More >>
Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease About... Read More >>
This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge... Read More >>
Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About... Read More >>
Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text,... Read More >>
Discover the world of ML through the lens and application of Core ML. We will take you through examples; each example... Read More >>
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural... Read More >>
You will build full-fledged, deep learning applications with Java and different open-source libraries. Master numerical... Read More >>
In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task... Read More >>
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"This framework aims to get superior result of minimize overall query load time and processing time of big data... Read More >>
Hands-On Graph Neural Networks Using Python is a comprehensive guide to building and training graph neural networks... Read More >>
All engineers compose code that adjusts to a structure of some sort or another. These systems help being developed... Read More >>
The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain... Read More >>
SURNet is an integrated deep neural network architecture designed for cardiac image segmentation. Segmentation is... Read More >>
This book covers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing... Read More >>
The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help... Read More >>
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples,... Read More >>
This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet,... Read More >>
Chapter 1: Introduction to CNNs and the SCZ Dataset - This chapter introduces the concept of CNNs and the SCZ dataset,... Read More >>
Network Science with Python provides a hands-on approach to the theory and implementation of network science. You'll... Read More >>
Machine learning is going to be something that you are going to use so that you can discover why and how you are... Read More >>
"Démarrez votre activité en ligne dès maintenant et travaillez de chez vous sans jamais vous rendre au bureau tous... Read More >>
