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Deep Learning with fastai Cookbook - Leverage the easy-to-use fastai framework to unlock the power of deep learning (Paperback)
Loot Price: R1,212
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Deep Learning with fastai Cookbook - Leverage the easy-to-use fastai framework to unlock the power of deep learning (Paperback)
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Harness the power of the easy-to-use, high-performance fastai
framework to rapidly create complete deep learning solutions with
few lines of code Key Features Discover how to apply
state-of-the-art deep learning techniques to real-world problems
Build and train neural networks using the power and flexibility of
the fastai framework Use deep learning to tackle problems such as
image classification and text classification Book Descriptionfastai
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. What you will learn
Prepare real-world raw datasets to train fastai deep learning
models Train fastai deep learning models using text and tabular
data Create recommender systems with fastai Find out how to assess
whether fastai is a good fit for a given problem Deploy fastai deep
learning models in web applications Train fastai deep learning
models for image classification Who this book is forThis book is
for data scientists, machine learning developers, and deep learning
enthusiasts looking to explore the fastai framework using a
recipe-based approach. Working knowledge of the Python programming
language and machine learning basics is strongly recommended to get
the most out of this deep learning book.
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