Image recognition Deep learning

a common evaluation set image classification mnist database data set. mnist composed of handwritten digits , includes 60,000 training examples , 10,000 test examples. timit, small size allows multiple configurations tested. comprehensive list of results on set available.

deep learning-based image recognition has become superhuman , producing more accurate results human contestants. first occurred in 2011.

deep learning-trained vehicles interpret 360° camera views. example facial dysmorphology novel analysis (fdna) used analyze cases of human malformation connected large database of genetic syndromes.