{"product_id":"deep-learning-with-tensorflow-explore-neural-networks-with-python-paperback","title":"Deep Learning with TensorFlow: Explore neural networks with Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eGiancarlo Zaccone\u003c\/b\u003e (Author), \u003cb\u003eMD Rezaul Karim\u003c\/b\u003e (Author), \u003cb\u003eAhmed Menshawy\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDelve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow\u003c\/li\u003e\n\u003cli\u003eExplore deep neural networks and layers of data abstraction with the help of this comprehensive guide\u003c\/li\u003e\n\u003cli\u003eReal-world contextualization through some deep learning problems concerning research and application\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep learning is the step that comes after machine learning, and has more advanced\u003c\/p\u003e\u003cp\u003eimplementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front seat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThroughout the book, you'll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including\u003c\/p\u003e\u003cp\u003esearch, image recognition, and language processing. Additionally, you'll learn how\u003c\/p\u003e\u003cp\u003eto analyze and improve the performance of deep learning models. This can be done by\u003c\/p\u003e\u003cp\u003ecomparing algorithms against benchmarks, along with machine intelligence, to learn\u003c\/p\u003e\u003cp\u003efrom the information and determine ideal behaviors within a specific context.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAfter finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn about machine learning landscapes along with the historical development and progress of deep learning\u003c\/li\u003e\n\u003cli\u003eLearn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x\u003c\/li\u003e\n\u003cli\u003eAccess public datasets and utilize them using TensorFlow to load, process, and transform data\u003c\/li\u003e\n\u003cli\u003eUse TensorFlow on real-world datasets, including images, text, and more\u003c\/li\u003e\n\u003cli\u003eLearn how to evaluate the performance of your deep learning models\u003c\/li\u003e\n\u003cli\u003eUsing deep learning for scalable object detection and mobile computing\u003c\/li\u003e\n\u003cli\u003eTrain machines quickly to learn from data by exploring reinforcement learning techniques\u003c\/li\u003e\n\u003cli\u003eExplore active areas of deep learning research and applications\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 320\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.67 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 27, 2017\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42741990588479,"sku":"9781786469786","price":95.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/12c61b0af5c1c39f0dba170142db045a.webp?v=1765162398","url":"https:\/\/dhlswag.com\/products\/deep-learning-with-tensorflow-explore-neural-networks-with-python-paperback","provider":"BBB","version":"1.0","type":"link"}