Natalino will provide a fast-paced lecture on recognizing handwritten numbers with ANNs. In the past years much progress has been booked on the recognition of images: multi-layer perceptrons, inception networks, skip and residual nets, lstm, attention networks. In this talk, Natalino will go through 7 different architectures on how to classify handwritten numbers using keras and tensorflow. For each neural network architecture, he will spend some time on the theory, the coding, and the quality of the results. Code and Fun included!.
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