Check out our CVPR'18 paper on weakly-supervised 3D shape completion — and let me know your opinion! @david_stutz



Recognizing Handwritten Digits using a Two-Layer Perceptron and the MNIST Dataset

In the course of my seminar paper on neural networks and their usage in pattern recognition I came across the MNIST dataset. The MNIST dataset provides test and validation images of handwritten digits. As result, I implemented a two-layer perceptron in MatLab to apply my knowledge of neural networks to the problem of recognizing handwritten digits.

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