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Deep learning has transformed the fields of computer vision, image
processing, and natural language applications. Thanks to
TensorFlow.js, now JavaScript developers can build deep learning
apps without relying on Python or R. Deep Learning with JavaScript
shows developers how they can bring DL technology to the web.
Written by the main authors of the TensorFlow library, this new
book provides fascinating use cases and in-depth instruction for
deep learning apps in JavaScript in your browser or on Node.
Deploying computer vision, audio, and natural language processing
in the browser Fine-tuning machine learning models with client-side
data Constructing and training a neural network Interactive AI for
browser games using deep reinforcement learning Generative neural
networks to generate music and pictures TensorFlow.js is an
open-source JavaScript library for defining, training, and
deploying deep learning models to the web browser. It's quickly
gaining popularity with developers for its amazing set of benefits
including scalability, responsiveness, modularity, and portability.
Shanging Cai and Eric Nielsen are senior software engineers on the
Google Brain team. Stan Bileschi is the technical lead for Google's
TensorFlow Usability team, which built the TensorFlow Layers API.
All three have advanced degrees from MIT. Together, they're
responsible for writing most of TensorFlow.js.
This revision of Manning's popular The Quick Python Book offers a
clear, crisp introduction to the elegant Python programming
language and its famously easy-to-read syntax. After exploring
Python's syntax, control flow, and basic data structures, the book
shows how to create, test, and deploy full applications and larger
code libraries. It addresses established Python features as well as
the advanced object-oriented options available in Python 3. This
edition covers 5 years' worth of minor updates to the language, and
the last 5 chapters have been reworked to be data based project
work. Key features: * Clear introduction * Completely up-to-date *
Hands-on experience The book is aimed at readers who know
programming but for whom the Python language is new. About the
Technology: Python is a true cross-platform language. It can be
used to develop small applications and rapid prototypes, but scales
well to permit development of large programs. It comes with a
powerful and easy-to-use graphical user interface (GUI) toolkit,
web programming libraries and more. And it's free!
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Paperback
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R367
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