This strategy is a mix of two impressive machine learning algorithms:
– convolutional neural networks are outstanding at image classification, i.e., getting out what is noticed on an input image,
– recurrent neural networks that are able of processing a sequence of inputs and outputs, therefore it can produce sentences of what is noticed on the image.
Combining these two strategies tends to make it attainable for a computer to explain in a sentence what is noticed on an input image.
The paper “Deep Visible-Semantic Alignments for Producing Image Descriptions” is offered right here:
A gallery with more effects with the same algorithm:
You can practice your have convolutional neural network right here:
The supply code for the job is now offered right here:
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