{"product_id":"practical-deep-learning-for-cloud-mobile-and-edge-real-world-ai-computer-vision-projects-using-python-keras-tensorflow-paperback","title":"Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI \u0026 Computer-Vision Projects Using Python, Keras \u0026 Tensorflow - Paperback","description":"\u003cp\u003eby \u003cb\u003eAnirudh Koul\u003c\/b\u003e (Author), \u003cb\u003eSiddha Ganju\u003c\/b\u003e (Author), \u003cb\u003eMeher Kasam\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhether youâ re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. \u003c\/p\u003e\u003cp\u003e Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eTrain, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite \u003c\/li\u003e\n\u003cli\u003eDevelop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral \u003c\/li\u003e\n\u003cli\u003eExplore fun projects, from Silicon Valleyâ s Not Hotdog app to 40+ industry case studies \u003c\/li\u003e\n\u003cli\u003eSimulate an autonomous car in a video game environment and build a miniature version with reinforcement learning \u003c\/li\u003e\n\u003cli\u003eUse transfer learning to train models in minutes \u003c\/li\u003e\n\u003cli\u003eDiscover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAnirudh Koul is the Head of AI \u0026amp; Research at Aira, and was previously at Microsoft AI \u0026amp; Research where he founded Seeing AI - the defacto app used by the blind community worldwide. With features shipped to about a billion people, he brings over a decade of production-oriented applied research experience on petabyte-scale datasets. He has been transforming ideas to reality using AI for Augmented Reality, Robotics, Speech, Productivity as well as building tools for people with disabilities. His work, which the IEEE has called 'life changing', has been honored by CES, FCC, Cannes Lions, American Council of the Blind, showcased at events by UN, White House, House of Lords, World Economic Forum, TEDx, on Netflix, National Geographic, and applauded by world leaders including Justin Trudeau and Theresa May.\u003c\/p\u003e\u003cp\u003eSiddha Ganju, who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. A graduate from Carnegie Mellon University, her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. Serving as an AI domain expert, she has also been guiding teams at NASA as well as featured as a jury member in several international tech competitions.\u003c\/p\u003e\u003cp\u003eMeher is a seasoned software developer with apps used by tens of millions of users every day. Currently at Square, and previously at Microsoft, he shipped features for a range of apps, from Square's Point of Sale to the Bing app. He was the mobile development lead for Microsoft's Seeing AI app, which has received widespread recognition and awards from Mobile World Congress, CES, FCC, American Council of the Blind to name a few. A hacker at heart with a flair for fast prototyping, he has won close to two dozen hackathons and converted them to features shipped in widely-used products. He also serves as a judge of international competitions including Global Mobile Awards, Edison Awards.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 583\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.19 x 9.19 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 26, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42693355339839,"sku":"9781492034865","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/87bae7776e64f85e17f37911fa637bd8.webp?v=1764998660","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/practical-deep-learning-for-cloud-mobile-and-edge-real-world-ai-computer-vision-projects-using-python-keras-tensorflow-paperback","provider":"BBB","version":"1.0","type":"link"}