Neural Networks category: 100 books
Hands-On Natural Language Processing with Python
A practical guide to applying deep learning architectures to your NLP applications
Language: English
Release Date: July 18, 2018
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow
Key Features
Weave neural networks into linguistic applications across various platforms
Perform NLP tasks and train its models using NLTK and TensorFlow
Boost your NLP models with strong deep learning architectures...
by Ronald J. MacGregor
Language: English
Release Date: December 2, 2012
Language: English
Release Date: December 2, 2012
Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating...
Neural Networks in Finance
Gaining Predictive Edge in the Market
Language: English
Release Date: January 20, 2005
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction.
McNelis...
by Indra den Bakker
Language: English
Release Date: October 27, 2017
Language: English
Release Date: October 27, 2017
Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide
About This Book
Practical recipes on training different neural network models and tuning them for optimal performance
Use Python frameworks like TensorFlow, Caffe, Keras, Theano...
by Yusuke Sugomori, Bostjan Kaluza, Fabio M. Soares
Language: English
Release Date: June 9, 2017
Language: English
Release Date: June 9, 2017
Build and run intelligent applications by leveraging key Java machine learning libraries
About This Book
Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
Explore a broad variety of data processing, machine learning, and natural...
Natural Language Processing with TensorFlow
Teach language to machines using Python's deep learning library
Language: English
Release Date: May 31, 2018
Write modern natural language processing applications using deep learning algorithms and TensorFlow
Key Features
Focuses on more efficient natural language processing using TensorFlow
Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep...
by Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah
Language: English
Release Date: February 13, 2018
Language: English
Release Date: February 13, 2018
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image...
by Christopher Bourez
Language: English
Release Date: July 31, 2017
Language: English
Release Date: July 31, 2017
Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models.
About This Book
Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner
Learn the design patterns...
Deep Learning with PyTorch Quick Start Guide
Learn to train and deploy neural network models in Python
Language: English
Release Date: December 24, 2018
Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing.
Key Features
Clear and concise explanations
Gives important insights into...
Machine Learning: Adaptive Behaviour Through Experience
Thinking Machines
Language: English
Release Date: July 16, 2017
This book is an introduction to Machine learning for beginners yet it has sufficient depth to interest technical developers. It addresses the subject of Machine Learning algorithms and the training techniques used, which will enable an agent to learn through its own experience gained through interaction...
Neural Network Models of Cognition
Biobehavioral Foundations
Language: English
Release Date: September 26, 1997
This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple...
TensorFlow Machine Learning Projects
Build 13 real-world projects with advanced numerical computations using the Python ecosystem
Language: English
Release Date: November 30, 2018
Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects
Key Features
Use machine learning and deep learning principles to build real-world projects
Get to grips with TensorFlow's impressive range of module...
Deep Learning By Example
A hands-on guide to implementing advanced machine learning algorithms and neural networks
Language: English
Release Date: February 28, 2018
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner
Key Features
Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide
Train different types of neural networks using Tensorflow for real-world problems in language...
Machine Learning with Swift
Artificial Intelligence for iOS
Language: English
Release Date: February 28, 2018
Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease
Key Features
Implement effective machine learning solutions for your iOS applications
Use Swift and Core ML to build and deploy popular machine learning models
Develop neural networks...