{"product_id":"deep-learning-with-python-learn-best-practices-of-deep-learning-models-with-pytorch-9781484253632","title":"Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch","description":"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.\u003cbr\u003eYou'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. \u003cbr\u003eYou'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 \u003ci\u003eDeep Learning with Python\u003c\/i\u003e explains the best practices in taking these models to production with PyTorch.\u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eReview machine learning fundamentals such as overfitting, underfitting, and regularization.\u003c\/li\u003e\n\u003cli\u003eUnderstand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent.\u003c\/li\u003e\n\u003cli\u003eApply in-depth linear algebra with PyTorch\u003c\/li\u003e\n\u003cli\u003eExplore PyTorch fundamentals and its building blocks\u003c\/li\u003e\n\u003cli\u003eWork with tuning and optimizing models \u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eBeginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner. \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/10\/2021\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484253632\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 306\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.09lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 6.10w x 0.68d","brand":"Nikhil Ketkar, Jojo Moolayil","offers":[{"title":"Default Title","offer_id":39893084143797,"sku":"9781484253632","price":32.29,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_4617f2e4-dbfe-41c8-a601-6fdd71d12af7.jpg?v=1619537491","url":"https:\/\/pastforward.org\/products\/deep-learning-with-python-learn-best-practices-of-deep-learning-models-with-pytorch-9781484253632","provider":"Past Forward","version":"1.0","type":"link"}