David Ha • 5/19/2017

Teaching Machines to Draw

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This technical article details 'sketch-rnn', a generative recurrent neural network model from Google Brain that creates vector drawings. It learns from sequences of pen strokes in human sketches to generate and interpolate drawings of common objects, aiming to capture abstract visual concepts in a human-like way. The post discusses the model's architecture, training on stroke data, and potential applications in art and education.

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#Machine Learning #vector graphics #Neural Networks
Teaching Machines to Draw

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