We build and train a neural network architecture in Python without usage of deep learning frameworks.
Detailed steps of the backpropagation algorithm are shown in the animation below (source).
Simulation
Simulation results for a classification problem are shown below. The used dataset is breast_cancer from the sklearn library.
The code is written in Python and can be found in the src folder. The main.py file contains the main code to run the simulation.