{"product_id":"9783031796647","title":"Synthesis Lectures on Mechanical Engineering: Using Python and Google Cloud Platform","description":"\u003ch1\u003eSynthesis Lectures on Mechanical Engineering: Using Python and Google Cloud Platform\u003c\/h1\u003e \u003ch2\u003eArif, Tariq M.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThis book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform.\u003c\/b\u003e It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.\u003c\/p\u003e\n\u003cp\u003eIn recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language processing, and bioinformatics. Also, numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However, incorporating a deep learning model in a research project is quite challenging, especially for someone who doesn't have related machine learning and cloud computing knowledge. Keeping that in mind, this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case.\u003c\/p\u003e\n\u003cp\u003eThe audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by-step approach that can be replicated by others easily.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2020-07-22\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031796647\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-79665-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x191cm\u003c\/p\u003e \u003cp\u003ePages: 93\u003c\/p\u003e ","brand":"Morgan \u0026 Claypool","offers":[{"title":"Default Title","offer_id":47531971117196,"sku":"9783031796647","price":34.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031796647.jpg?v=1776055997","url":"https:\/\/lateknightbooks.com\/products\/9783031796647","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}