Learn IT - Books tags frameworks

Books tags: frameworks

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

Cloud Computing, A Practical Approach

McGraw-Hill, 2009

"The promise of cloud computing is here. These pages provide the 'eyes wide open' insights you need to transform your business." --Christopher Crowhurst, Vice President, Strategic Technology, Thomson Reuters

A Down-to-Earth Guide to Cloud Computing

Cloud Computing: A Practical Approach provides...

Foundations of Dependable Computing: Paradigms for Dependable Applications

Springer, 1994

Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book...

Learning PHP, MySQL, JavaScript, and CSS: A Step-by-Step Guide to Creating Dynamic Websites

O'Reilly, 2012

The combination of PHP and MySQL is the most convenient approach to dynamic, database-driven web design, holding its own in the face of challenges from integrated frameworks—such as Ruby on Rails—that are harder to learn. Due to its open source roots (unlike the competing Microsoft .NET framework), it is...

Software Development on a Leash (Expert's Voice)

Apress, 2002

Software Development on a Leash is designed as a roadmap for experienced developers and architects who are interested in implementing a turbocharged software development process that encourages reuse and innovation. Author David Birmingham's products have been successfully deployed in a variety of venues, including...

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

O'Reilly, 2018

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...

Introduction to Reticular Chemistry: Metal-Organic Frameworks and Covalent Organic Frameworks

John Wiley & Sons, 2019

A concise introduction to the chemistry and design principles behind important metal-organic frameworks and related porous materials

Reticular chemistry has been applied to synthesize new classes of porous materials that are successfully used for myraid applications in areas such as gas separation, catalysis, energy, and...

JUnit in Action

Manning Publications, 2003

A guide to unit testing Java applications (including J2EE applications) using the JUnit framework and its extensions, this book provides techniques for solving real-world problems such as unit testing legacy applications, writing real tests for real objects, automating tests, testing in isolation, and unit testing J2EE and database...

Foundations of Dependable Computing: Models and Frameworks for Dependable Systems

Springer, 1994

Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...

Computer Models in Biomechanics: From Nano to Macro

Springer, 2012

This book contains a collection of papers that were presented at the IUTAM Symposium

on “Computer Models in Biomechanics: From Nano to Macro” held at Stanford University, California, USA, from August 29 to September 2, 2011.

It contains state-of-the-art papers on:

- Protein and Cell...

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