{"product_id":"deep-learning-with-python-a-hands-on-introduction-9781484227657","title":"Deep Learning with Python: A Hands-On Introduction","description":"Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. \u003ci\u003eDeep Learning with Python \u003c\/i\u003eallows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.\u003cbr\u003eThis book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.\u003cbr\u003e\u003ci\u003eDeep Learning with Python\u003c\/i\u003e alsointroduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. \u003cbr\u003e\u003cb\u003eWhat You Will Learn \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eLeverage deep learning frameworks in Python namely, Keras, Theano, and Caffe \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGain the fundamentals of deep learning with mathematical prerequisites \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDiscover the practical considerations of large scale experiments \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eTake deep learning models to production\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eSoftware developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Nikhil Ketkar\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/19\/2017\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 226\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.96lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.52d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484227657\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003eNikhil S. Ketkar currently leads the Machine Learning Platform team at Flipkart, India's largest e-commerce company. He received his Ph.D. from Washington State University. Following that he conducted postdoctoral research at University of North Carolina at Charlotte, which was followed by a brief stint in high frequency trading at Transmaket in Chicago. More recently he led the data mining team in Guavus, a startup doing big data analytics in the telecom domain and Indix, a startup doing data science in the e-commerce domain. His research interests include machine learning and graph theory.\u003cbr\u003e\u003c\/p\u003e","brand":"Apress","offers":[{"title":"Paperback","offer_id":45312407273587,"sku":"9781484227657","price":79.95,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_14d8d71a-6479-4a49-b236-04ef658b739c.jpg?v=1785935258","url":"https:\/\/bookstorenmore.com\/en-de\/products\/deep-learning-with-python-a-hands-on-introduction-9781484227657","provider":"Bookstore N More","version":"1.0","type":"link"}