This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fu……続きを見る
Implement popular deep learning techniques to make your IoT applications smarter
Key Features
Understand how deep learning facilitates fast and accurate analytics in IoT
Build intelligent voice and……続きを見る
As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. Th……続きを見る
Apply modern deep learning techniques to build and train deep neural networks using Gorgonia
Key Features
Gain a practical understanding of deep learning using Golang
Build complex neural network m……続きを見る
The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by si……続きを見る
著者:Herbert Jones
出版社: Herbert Jones
発売日: 2019年08月07日
If you want to learn about Deep Learning then keep reading...
It's said that filling the observable universe with an infinite number of monkeys on infinite typewriters and letting them type for an i……続きを見る
著者:Herbert Jones
出版社: Herbert Jones
発売日: 2019年08月11日
If you want to learn about Neural Networks then keep reading...
Aladdin from "The Arabian Nights" had a magic lamp that fulfilled his every wish when rubbed. Today we have a smartphone that serves a……続きを見る
著者:Trust Genics
出版社: Thomas William
発売日: 2019年08月13日
Now, you might look at this title and shy away, thinking that a book with "algorithms" in its title must be just for techies and computer scientists. However, this book is very accessible to those w……続きを見る
Deep Learning With Python Illustrated Guide For Beginners And Intermediates "Learn By Doing Approach"
Includes Keras with Tensorflow Backend
Deep learning originates from a broader family of machine……続きを見る
著者:Zhongzhi Shi
出版社: World Scientific Publishing Company
発売日: 2019年08月05日
The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing i……続きを見る
Recognized as a "Recommended" title by Choice for their April 2021 issue.
Choice is a publishing unit at the Association of College & Research Libraries (ACR&L), a division of the American Library A……続きを見る
著者:Neil Wilkins
出版社: Neil Wilkins
発売日: 2019年08月27日
¿Está usted confundido acerca del furor que existe detrás de la inteligencia artificial y le gustaría aprender más?
Este libro lo abarca todo, desde el aprendizaje automático hasta la robótica y el ……続きを見る
著者:Matt Harrison
出版社: O'Reilly Media
発売日: 2019年08月27日
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for ……続きを見る
Deep Learning with Kelp.Net is the ultimate reference for C# .Net developers who are passionate about deep learning. Readers will learn all the skills necessary to develop powerful, scalable and fle……続きを見る
Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the applic……続きを見る
著者:Seth Weidman
出版社: O'Reilly Media
発売日: 2019年09月09日
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introd……続きを見る
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python
Key Features
Understand how to obt……続きを見る
This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary algorithm)-based approach for complex adaptive systems with the in……続きを見る
Learn how Artificial Intelligence (AI) strikes deeper roots with new products and services
Our World of personal life and work is set to change dramatically over the next decade as Artificial Intell……続きを見る
How to build a successful online network marketing business
Discover The Step-By-Step Blueprint To Setting Up Your Own Online Business
Are You Ready for Change?
Have you been thinking about starting……続きを見る
Use Java and Deeplearning4j to build robust, scalable, and highly accurate AI models from scratch
Key Features
Install and configure Deeplearning4j to implement deep learning models from scratch
Ex……続きを見る
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications
This book focuses on how to build energy-efficient……続きを見る
This book covers the basics behind Convolutional Neural Networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy to understand way. It i……続きを見る
This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurren……続きを見る
TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts offering ……続きを見る
Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the……続きを見る
著者:Trust Genics
出版社: Thomas William
発売日: 2019年11月04日
Discover How Algorithms Shape & Impact Our World
Now you might look at this title and shy away, thinking that a book with "Algorithms" in its title must be just for techies and computer scientists. ……続きを見る
Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem
Key Features
Get to g……続きを見る
Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries
Key Features
Implement deep learning algorithms to build AI mo……続きを見る
Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution
Key Features
Implement neuroevolution algorithms ……続きを見る