ffcm/nn-scratch-mnist
0
The model used is a Neural Network made with Python and Numpy only. Architecture is 784 input units, two hidden layers of 72 and 48 units and a 10 unit output. Training was done on the MNIST training dataset of 60000 images.
Video (Portuguese-Brazil): https://www.youtube.com/watch?v=NhG8NsHW6fI