Version 1.0.0

First public version.

• Neural network written from scratch with NumPy: forward, softmax, cross-entropy, backpropagation, SGD with
  momentum, L2, dropout, relu, leaky relu, sigmoid and tanh activations.
• Graphical interface with 5 tabs, plus the Info page:
  • Data: MNIST download, dataset exploration, reset;
  • Training: live, with loss curve, weight gaussians and dozens of knobs;
  • Evaluation: photos damaged on purpose, confidence threshold, confusion matrix and points map
    (PCA and t-SNE);
  • Draw & edit: drawing board and lab to change biases, weights and neurons;
  • Inside the network: the math of every layer and the softmax steps, with the temperature.
• Every step from the terminal too (start.bat <command>).
• English and Italian interface, with a language selector in the Info tab.
• A Changelog page in the Info tab.
• Update check at startup and one-click install of the new version.