A convolutional neural net is trained to predict between a given image is of a horse or a human. Using the convolutional layers to imprive accuracy and defining callbacks the accuracy of the trained model is approximately upto 92%.
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Computer Vision using CNN on dataset consisting of real world images of humans & horses.
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