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Books tags: natural

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Packt Publishing, 2018

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

Learn PyTorch for implementing cutting-edge deep learning algorithms.

Train your neural networks for higher speed and flexibility and learn how to implement them in various...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Packt Publishing, 2018

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

Introduction to Facebook's fastText library for NLP

Perform efficient word representations, sentence classification, vector representation

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Packt Publishing, 2021

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models

Key Features

Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Packt Publishing, 2018

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

Explore deep reinforcement learning (RL), from the first principles to the latest algorithms

Evaluate high-profile RL methods, including value...

PyTorch Recipes: A Problem-Solution Approach

Apress, 2019

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look...

Modelling and Reasoning with Vague Concepts

Springer, 2006

Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...

A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics

Springer, 2006

Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with...

Studio Photography: Essential Skills, Third Edition (Photography Essential Skills)

Focal Press, 2005

Now beautifully illustrated in full colour with brand new full colour student and author work, Studio Photography has been updated and improved to cover all the latest techniques. With the refreshed images and illustrations you will clearly be able to see how to use a wide range of photographic effects to their full advantage.

In this...

The Complete Idiot's Guide to the Science of Everything

Alpha, 2008

Did you ever wonder how somebody ever figured out all the details of making a cellphone system work? What about those giant MRI machines that can take a picture of your insides without a single incision? Then there is the universe. We think we know at least something about how it started billions of years ago and where it’s going billions of...

Natural Computing: 4th International Workshop on Natural Computing

Springer, 2010

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

Coaching Positively: Lessons for Coaches from Positive Psychology (Coaching in Practice)

Open University Press, 2011

"If you are looking for an introductory book on how to do PP coaching, this will give you an excellent, clearly written, practical introduction with some useful references in the bibliography."
AICTP Newsletter, November 2012

"Coaching Positively is the book that the coaching profession...

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