- an implementation of a simple neural network
- done in Python and Numpy, with no external machine learning framework used
- understanding sentimental analysis
The purpose of this project was to understand the full architecture of a neural network and to visually break down what's going on while training to properly categorise sentiements.
- execute command
ipython notebook
from commandline in the same folder asNeuralNetwork-SentimentAnalysis.ipynb
- when the broswer is open launch
NeuralNetwork-SentimentAnalysis.ipynb
- the dataset is too big and is not uploaded on Github, however, you can open a Github issue and i'll provide a link
- run the cell segments in the vertical order
- coming soon