num_pages: 350
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.
language: English
title: Deep Learning with Python
publisher: Manning