Sigmoid Neural Networks

A simple sigmoid activation function-based neural network using the delta rule.

Your program must at least accept the following parameters:

• data - The location of the data file (e.g. /media/data/car.csv).
• eta - The learning rate for the backpropagation.
• iterations - The number of iterations to calculate

Execute by: python3 student.py --data Gauss3.csv --eta 0.2 --iterations 2

Math path

Output

Bonus

Run Dockerfile

docker run -it python-nnet-minidocker:1.0 python3 NeuralNets.py --data Gauss3.csv --eta 0.2 --iterations 2