Page 1

KWH

Deep learning with Python

Detail ● ● ● ● ● ●

Author : Francois Chollet Pages : 350 pages Publisher : Manning Language : eng ISBN-10 : 1617294438 ISBN-13 : 9781617294433

Description Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model


only has to be fed examples of a task to start generating useful results on new data.

Profile for globaleuro534

Deep learning with Python  

Audiobook Deep learning with Python Online

Deep learning with Python  

Audiobook Deep learning with Python Online

Advertisement