Deep Learning with Python

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.
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