{"product_id":"deep-learning-with-python-a-hands-on-introduction-1st-ed-edition-pdf-version","title":"Deep Learning with Python: A Hands-on Introduction 1st ed. Edition (PDF - Version)","description":"\u003cp\u003e\u003cspan\u003e- Delivery by email. Can be DOWNLOAD IMMEDIATELY after purchasing.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e- PDF eBook eTextbook Only! NO Online Access. NO Physical Book, Can be read on any devices (Kindle, NOOK, Android\/IOS devices, Windows, MAC).\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e- WE NOW ACCEPT CREDIT CARD, PAYPAL payments\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e- If you need EPUB Version, please contact to us.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003eDiscover 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.\u003cspan\u003e \u003c\/span\u003e\u003ci\u003eDeep Learning with Python\u003cspan\u003e \u003c\/span\u003e\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.\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\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.\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ci\u003eDeep Learning with Python\u003c\/i\u003e\u003cspan\u003e \u003c\/span\u003ealso introduces 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. \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cb\u003eWhat You Will Learn \u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eLeverage deep learning frameworks in Python namely, Keras, Theano, and Caffe \u003c\/li\u003e\n\u003cli\u003eGain the fundamentals of deep learning with mathematical prerequisites \u003c\/li\u003e\n\u003cli\u003eDiscover the practical considerations of large scale experiments \u003c\/li\u003e\n\u003cli\u003eTake deep learning models to production\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\nSoftware 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.\u003c\/div\u003e","brand":"Nikhil Ketkar","offers":[{"title":"Default Title","offer_id":14303104401477,"sku":"9781484227657","price":18.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0037\/4623\/4437\/products\/41Y5fcnPJGL._SX348_BO1_204_203_200.jpg?v=1537377000","url":"https:\/\/saporo-books.myshopify.com\/products\/deep-learning-with-python-a-hands-on-introduction-1st-ed-edition-pdf-version","provider":"Saporo Books","version":"1.0","type":"link"}