Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at start training, weights a network evolve such way as to be able perform variety tasks, classifying images. Here, we study emergence structure by applying methods from topological data analysis. We train simple feedforward on MNIST set and monitor evolution weights. When ini...