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Deep Learning with Python: A Hands-on Introduction
Nihkil Ketkar
€ 74.55
€ 62.98
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Description for Deep Learning with Python: A Hands-on Introduction
Paperback. .
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. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This ... Read more
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. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This ... Read more
Product Details
Publisher
Apress
Format
Paperback
Publication date
2017
Condition
New
Number of Pages
226
Place of Publication
Berkley, United States
ISBN
9781484227657
SKU
V9781484227657
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Nihkil Ketkar
Nikhil 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 ... Read more
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