Grokking Deep Learning

Andrew W Trask (Autor)

Buch | Softcover

336 Seiten

2019
Manning Publications (Verlag)
978-1-61729-370-2 (ISBN)

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Build neural networks that can see and understand images
Build an A.I. that will learn to defeat you in a classic Atari game
Hands-on Learning

Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the "black box" API of some library or framework, readers will actually understand how to build these algorithms completely from scratch.

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the world's smartest Artificial Intelligence systems out there.

Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Using only Python and its math-supporting library, NumPy, you’ll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you’re done, you’ll be fully prepared to move on to mastering deep learning frameworks.

You will learn:

The science behind deep learning
Building and training your own neural networks
Privacy concepts, including federated learning
Tips for continuing your pursuit of deep learning

Written for readers with high school-level math and intermediate programming skills. Experience with Calculus is helpful but not required.

Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world’s largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform.

An excellent introduction and overview of deep learning by a masterful teacher who guides, illuminates, and encourages you along the way. Kelvin D. Meeks, International Technology Ventures

Erscheinungsdatum	07.09.2018
Verlagsort	New York
Sprache	englisch
Gewicht	579 g
Einbandart	kartoniert
Themenwelt	Informatik ► Programmiersprachen / -werkzeuge ► Python
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Informatik ► Web / Internet
Schlagworte	Artificial Intelligence • Deep learning • Künstliche Intelligenz • machine learning • Python
ISBN-10	1-61729-370-9 / 1617293709
ISBN-13	978-1-61729-370-2 / 9781617293702
Zustand	Neuware