ＫＲ - Neural Networks 1

Unlock the true potential of AI! Imagine waking up every morning, knowing that your bank account kept growing during your sleep, thanks to the remarkable capabilities of AI. Picture having the freed……続きを見る

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how t……続きを見る

Introducing Gemini AI, the cutting-edge language model from Google, poised to revolutionize how we interact with words. Go beyond simple text generation and explore a world of possibilities: transla……続きを見る

使用TensorFlow、H2O和MXNet解决复杂的神经网络问题，全彩印刷Key Features本书的结构简单明了，每部分由准备环节、动手操作和工作原理组成，可强化读者的学习覆盖了深度学习领域常见的神经网络类型，并介绍了使用……続きを見る

Mojo Programming: The Fast Track to Mastering Robotic Process Automation Feeling bogged down by repetitive computer tasks? Mojo Programming: The Fast Track to Mastering Robotic Process Automation (R……続きを見る

"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of……続きを見る

Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key Features • Discover how to apply state-of-the-ar……続きを見る

Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in developing risk assessment models for invasive plant species- tho……続きを見る

Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default pr……続きを見る

Are you thinking of learning more about Machine Learning using R? Deep learning is constantly being mentioned today, as organizations cross over their businesses attempts to discover how to utilize ……続きを見る

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book Master intricacies of R deep learning packages such as mxnet & tensorflo……続きを見る

The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with diffe……続きを見る

A mesterséges intelligencia egyike a legérdekfeszítőbb kérdéseknek napjainkban, mivel óriási lehetőségeket rejt, ám mérhetetlen szenvedések forrásává is válhat. De mi is a mesterséges intelligencia ……続きを見る

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more e……続きを見る

Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challenges Key Features Understand the fundamental concepts for converging artif……続きを見る

With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time Key Features • Learn how to i……続きを見る

Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activities Key Featu……続きを見る

This text provides a concise introduction to non-equilibrium thermodynamics of open, complex systems using a first-principles approach. In the first chapters, the principles of thermodynamics of com……続きを見る

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of vide……続きを見る