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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Mark Ryan
Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Mark Ryan - okladka książki

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Mark Ryan - okladka książki

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Mark Ryan - audiobook MP3

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Mark Ryan - audiobook CD

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Stron:
340
Dostępne formaty:
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     Mobi

Ebook (125,10 zł najniższa cena z 30 dni)

139,00 zł (-10%)
125,10 zł

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(125,10 zł najniższa cena z 30 dni)

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Do przechowalni

fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems.
The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai.
By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models.

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O autorze książki

Mark Ryan is a machine learning practitioner and technology manager who is passionate about delivering end-to-end deep learning applications that solve real-world problems. Mark has worked on deep learning projects that incorporate a variety of related technologies, including Rasa chatbots, web applications, and messenger platforms. As a strong believer in democratizing technology, Mark advocates for Keras and fastai as accessible frameworks that open up deep learning to non-specialists. Mark has a degree in computer science from the University of Waterloo and a Master of Science degree in computer science from the University of Toronto.

Packt Publishing - inne książki

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