{"product_id":"deep-learning-at-scale","title":"Deep Learning at Scale: At the Intersection of Hardware, Software, and Data","description":"\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. \r\n\u003c\/p\u003e\u003cp\u003e\r\nThis 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. \r\n\u003c\/p\u003e\u003cp\u003e\r\nYou'll gain a thorough understanding of:\r\n\u003c\/p\u003e\u003cul\u003e\r\n\u003cli\u003eHow data flows through the deep-learning network and the role the computation graphs play in building your model \r\n\u003c\/li\u003e\n\u003cli\u003eHow accelerated computing speeds up your training and how best you can utilize the resources at your disposal \r\n\u003c\/li\u003e\n\u003cli\u003eHow to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism \r\n\u003c\/li\u003e\n\u003cli\u003eHow to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training\r\n\u003c\/li\u003e\n\u003cli\u003eDebugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training\r\n\u003c\/li\u003e\n\u003cli\u003eHow to expedite the training lifecycle and streamline your feedback loop to iterate model development \r\n\u003c\/li\u003e\n\u003cli\u003eA set of data tricks and techniques and how to apply them to scale your training model \r\n\u003c\/li\u003e\n\u003cli\u003eHow to select the right tools and techniques for your deep-learning project\r\n\u003c\/li\u003e\n\u003cli\u003eOptions for managing the compute infrastructure when running at scale\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"None","offers":[{"title":"Paperback","offer_id":46241872019666,"sku":"9781098145286","price":99.99,"currency_code":"CAD","in_stock":true},{"title":"Kobo eBook","offer_id":46241872052434,"sku":"d9322c95-7f60-37a8-8cd8-844581fd770d","price":67.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_1545f63a-7bee-4c42-8a10-314fe83ca5ae.jpg?v=1763631295","url":"https:\/\/iandigo.com\/products\/deep-learning-at-scale","provider":"Indigo","version":"1.0","type":"link"}