{"product_id":"mastering-pytorch-build-powerful-neural-network-architectures-using-advanced-pytorch-1-x-features-paperback","title":"Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAshish Ranjan Jha\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster advanced techniques and algorithms for deep learning with PyTorch using real-world examples\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand how to use PyTorch 1.x to build advanced neural network models\u003c\/li\u003e\n\u003cli\u003eLearn to perform a wide range of tasks by implementing deep learning algorithms and techniques\u003c\/li\u003e\n\u003cli\u003eGain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.\u003c\/p\u003e\u003cp\u003eThe book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.\u003c\/p\u003e\u003cp\u003eBy the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement text and music generating models using PyTorch\u003c\/li\u003e\n\u003cli\u003eBuild a deep Q-network (DQN) model in PyTorch\u003c\/li\u003e\n\u003cli\u003eExport universal PyTorch models using Open Neural Network Exchange (ONNX)\u003c\/li\u003e\n\u003cli\u003eBecome well-versed with rapid prototyping using PyTorch with fast.ai\u003c\/li\u003e\n\u003cli\u003ePerform neural architecture search effectively using AutoML\u003c\/li\u003e\n\u003cli\u003eEasily interpret machine learning (ML) models written in PyTorch using Captum\u003c\/li\u003e\n\u003cli\u003eDesign ResNets, LSTMs, Transformers, and more using PyTorch\u003c\/li\u003e\n\u003cli\u003eFind out how to use PyTorch for distributed training using the torch.distributed API\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 450\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.91 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 12, 2021\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42708448149567,"sku":"9781789614381","price":103.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/f191c6b2d3532e5ee675196a5a978803.webp?v=1765047834","url":"https:\/\/dhlswag.com\/products\/mastering-pytorch-build-powerful-neural-network-architectures-using-advanced-pytorch-1-x-features-paperback","provider":"BBB","version":"1.0","type":"link"}