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

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

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

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

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...
PyTorch Recipes: A Problem-Solution Approach
PyTorch Recipes: A Problem-Solution Approach
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...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

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...
Encyclopedia of Parallel Computing (Springer Reference)
Encyclopedia of Parallel Computing (Springer Reference)
Parallelism, the capability of a computer to execute operations concurrently, has been a constant throughout the history of computing. It impacts hardware, software, theory, and applications. The fastest machines of the past few decades, the supercomputers, owe their performance advantage to parallelism. Today, physical limitations...
Water Dynamics in Plant Production
Water Dynamics in Plant Production
The source of life is water. Life began in the oceans, which represent the largest stock of water on Earth. Much less water is stored below the land surface in the form of fresh groundwater, amounting to not quite 0.8% of the earth’s total water reserves, while lakes and rivers combined only contribute a further...
Vision in 3D Environments
Vision in 3D Environments
Seeing in 3D is a fundamental problem for anyorganism or device that has to operate in the real world. Answering questions such as “how far away is that?” or “can we fit through that opening?” requires perceiving and making judgments about the size of objects in three dimensions. So how do we see in...
Generative Art
Generative Art
As a young man, this career shift wasn’t entirely motivated by a need to restore the right-left hemisphere balance to my young brain; it may also have had something to do with the worry that knowing a lot about Alan Turing and C++ was probably not the best way to get a girlfriend.

My studies of early 1990s ideas
...
Open Source GIS: A GRASS GIS Approach
Open Source GIS: A GRASS GIS Approach
Over the past decade, Geographical Information Systems (GIS) have evolved from a highly specialized niche to a technology that affects nearly every aspect of our lives, from finding driving directions to managing natural disasters. While just a few years ago the use of GIS was restricted to a group of researchers, planners and...
The dRuby Book: Distributed and Parallel Computing with Ruby
The dRuby Book: Distributed and Parallel Computing with Ruby
Stateful web servers are a core concept of dRuby. dRuby lets you pass normal Ruby objects and call their methods across processes and networks seamlessly. With dRuby, you’ll experience the world of distributed computing as a natural extension of Ruby.

The most widely used distributed
...
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