Recognizing Human features using Deep Networks
summary
Presents practical computer-vision projects using deep convolutional neural networks, specifically a facial recognition system and a hand-gesture-to-emoji classifier, plus work on handwritten digit, alphabet, apparel and Devanagari recognition. Describes using CNNs, hyperparameter tuning and data cleaning, with references to research papers and MOOCs as foundations for building and improving these models.
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