Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách gia công
Master the practical aspects of implementing deep
learning solutions with PyTorch, using a hands-on approach to
understanding both theory and practice. This updated edition will
prepare you for applying deep learning to real world problems with a
sound theoretical foundation and practical know-how with PyTorch, a
platform developed by Facebook’s Artificial Intelligence Research Group.
You'll
start with a perspective on how and why deep learning with PyTorch has
emerged as an path-breaking framework with a set of tools and techniques
to solve real-world problems. Next, the book will ground you with the
mathematical fundamentals of linear algebra, vector calculus,
probability and optimization. Having established this foundation, you'll
move on to key components and functionality of PyTorch including
layers, loss functions and optimization algorithms.
You'll also gain
an understanding of Graphical Processing Unit (GPU) based computation,
which is essential for training deep learning models. All the key
architectures in deep learning are covered, including feedforward
networks, convolution neural networks, recurrent neural networks, long
short-term memory networks, autoencoders and generative adversarial
networks. Backed by a number of tricks of the trade for training and
optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch.
What You'll Learn
Review machine learning fundamentals such as overfitting, underfitting, and regularization.
Understand
deep learning fundamentals such as feed-forward networks, convolution
neural networks, recurrent neural networks, automatic differentiation,
and stochastic gradient descent.
Apply in-depth linear algebra with PyTorch
Explore PyTorch fundamentals and its building blocks
Work with tuning and optimizing models
Who This Book Is For
Beginners with a working knowledge of Python who want to understand Deep Learning in
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2021
In lần thứ:2
Nhà xuát bản:Apress
Ngôn ngữ:english
Trang:323 / 316
