Easily set up a multi-layer neural network (MLP) to train on your excel dataset.
Easily set up a multi-layer neural network (MLP) to train on your excel datasets.
Have an easy to use application to train the MNIST dataset of hand-written digits for my pre-scientific work about neural network training.
Requires: Python 3.7 or above
pip install --no-cache-dir -r requirements.txt
Run Source code: python main.py
Convert to executable (.exe):
pyinstaller -w --hidden-import tkinter --exclude-module PySide2 --exclude-module PyQt5 --add-data "FeedforwardNeuralNetwork.py;." main.py
The neural network is trained with the sigmoid activation function and uses the mean squared error to determine its performance on the dataset.
Project Start: 20.09.2020 (DD.MM.YYYY) Project End: 22.09.2020 (DD.MM.YYYY) Time spent: 06:30 (HH:MM)