{"product_id":"deep-learning-at-scale-at-the-intersection-of-hardware-software-and-data-paperback","title":"Deep Learning at Scale: At the Intersection of Hardware, Software, and Data - Paperback","description":"\u003cp\u003eby \u003cb\u003eSuneeta Mall\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. \u003c\/p\u003e\u003cp\u003e This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. \u003c\/p\u003e\u003cp\u003e You'll gain a thorough understanding of: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eHow data flows through the deep-learning network and the role the computation graphs play in building your model \u003c\/li\u003e\n\u003cli\u003eHow accelerated computing speeds up your training and how best you can utilize the resources at your disposal \u003c\/li\u003e\n\u003cli\u003eHow to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism \u003c\/li\u003e\n\u003cli\u003eHow to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training \u003c\/li\u003e\n\u003cli\u003eDebugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training \u003c\/li\u003e\n\u003cli\u003eHow to expedite the training lifecycle and streamline your feedback loop to iterate model development \u003c\/li\u003e\n\u003cli\u003eA set of data tricks and techniques and how to apply them to scale your training model \u003c\/li\u003e\n\u003cli\u003eHow to select the right tools and techniques for your deep-learning project \u003c\/li\u003e\n\u003cli\u003eOptions for managing the compute infrastructure when running at scale\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 448\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.91 x 9.19 x 7 IN\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 23, 2024\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51750648709408,"sku":"9781098145286","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/7deff6eab48efc93d1481e5f5d910e1f.webp?v=1779955632","url":"https:\/\/ebocreations.com\/products\/deep-learning-at-scale-at-the-intersection-of-hardware-software-and-data-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}