List of Books in Keyword #Neural Networks

Artificial Intelligence Cognitive Science Neural Networks Robotics Machine Learning

"Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial …

Published on: 1991,2018

Beginner Unordered English

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural …

Algorithms Artificial Computation Neural Networks Theory

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Published on: 2022

Unordered Unordered English

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as …

TensorFlow Keras Neural Networks MNIST Machine Learning

Published on: 2021

Intermediate Machine Learning English

Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from …

Machine Learning Neural Networks Keras TensorFlow AI

Published on: 2019

PyTorch Deep Learning Applications Neural Networks Machine Learning

Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the …

Published on: 2022

Intermediate Machine Learning English

Python Neural Networks Scikit-learn PyTorch Hands-on

Published on: 2017

Keras TensorFlow Neural Networks R Programming AI Applications

Published on: 2020

Neural Networks R Programming TensorFlow Recipes Machine Learning

Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …

Published on: 2020

Beginner Unordered English

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and …

Deep Learning R Neural Networks Machine Learning Modeling

Published on: 2017

Python Deep Learning Keras Neural Networks Hands-on

Published on: 2017

Beginner Data Science English

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. …

Keras TensorFlow Neural Networks AI Programming

Published on: 2018

Python Neural Networks NLP Deep Learning Algorithms

Published on: 2019

Beginner Network English

Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonKey FeaturesDiscover neural network …

Python Neural Networks Projects Machine Learning Programming

Published on: 2015

Deep Learning Speech Recognition Neural Networks Acoustic Modeling Algorithms

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus …

Published on: 2015

Beginner Unordered English

Deep Learning Neural Networks AI Algorithms Math

Published on: 2014

Neural Networks Machine Learning Algorithms Data Processing Artificial Intelligence

Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …

Published on: 2009

Beginner Natural Language Processing English

Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest …

Deep Learning Neural Networks Unsupervised Feature Learning AI Models

Neural Networks Supervised Learning Reinforcement Learning Backpropagation Optimization

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in …

Python Deep Learning Neural Networks Data Processing Machine Learning

Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)

Neural Networks Artificial Intelligence Algorithms Data Representation Supervised Learning

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in …

Beginner Data Science English

Neural Networks Machine Learning Artificial Intelligence Backpropagation Optimization.

Published on: 2015

Algorithms Machine Learning Data Mining Fuzzy Systems Neural Networks

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the …

Published on: 2013

Fuzzy Logic Neural Networks Optimization Algorithms Applications

This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that …

Published on: 2018

Intermediate Unordered English

Neural Networks Deep Learning Data Analysis Algorithms Machine Learning

Published on: 2020

Intermediate Data Science English

Deep Learning Neural Networks PyTorch Algorithms Applications

Published on: 2021

Quantum Algorithms Neural Networks Circuits Superposition

Published on: 2022

AI Neural Networks Machine Learning Cognitive Systems Applications

The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical …

Published on: 1992

Brains Neural Networks Misconceptions Intelligence Computation

How does the mind work? How is data stored in the brain? How does the mental world connect with the …

Published on: 2018

Neural Networks Backpropagation Python Artificial Intelligence Algorithms

Published on: 2023

JAX Deep Learning Python MEAP Neural Networks

Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. In Deep Learning with JAX …

Published on: 2023

JAX Deep Learning Python Neural Networks Machine Learning

In Deep Learning with JAX you will learn how to • Use JAX for numerical calculations • Build differentiable models …

Published on: 2024