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dear fellow scholars this is two minute papers with kroly on IFA here neural networks can be used to learn a variety of things for instance to classify images which means that wed like to find out what breed the dog is that we see on the image this work uses a combination of two techniques a neural network variant that is more adapted to the visual mechanisms of humans and is therefore very suitable for processing and classifying images this variant we call a convolutional neural network heres a great web application where you can interactively train your own network and see how it improves at recognizing different things this is a data set where the algorithm tries to guess which class these smudgy images are from if trained for long enough it can achieve a classification accuracy of around 80 percent the current state of the art in research is about 90 percent which is just four percent off of humans who have performed the same classification this is already insanity we could be
