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Two Minute Papers: Recurrent Neural Network Writes Sentences About Images | Two Minute Papers #23

This technique is a combination of two powerful machine learning algorithms:
– convolutional neural networks are excellent at image classification, i.e., finding out what is seen on an input image,
– recurrent neural networks that are capable of processing a sequence of inputs and outputs, therefore it can create sentences of what is seen on the image.

Combining these two techniques makes it possible for a computer to describe in a sentence what is seen on an input image.

_____________________

The paper “Deep Visual-Semantic Alignments for Generating Image Descriptions” is available here:
http://cs.stanford.edu/people/karpathy/deepimagesent/

A gallery with more results with the same algorithm:
http://cs.stanford.edu/people/karpathy/deepimagesent/generationdemo/

You can train your own convolutional neural network here:
http://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html

The source code for the project is now available here:
https://github.com/karpathy/neuraltalk2

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