reshalfahsi / neuralnetwork

Implementation of Artificial Neural Network Algorithm

Neural Network

A naive implementation of a neural network. The code structure is heavily inspired by PyTorch and TensorFlow. However, this package is used for educational purposes and is not intended to be adopted in production.

Installation

git clone https://github.com/reshalfahsi/neuralnetwork
cd neuralnetwork
pip install .

Quick Demo

Here is a short example of the usage of neuralnetwork components. For the complete demo, please take a look at examples/classification.py and notebook/Classification.ipynb for the classification problem. We also provide am example for regression problem: examples/regression.py and notebook/Regression.ipynb.

import neuralnetwork.nn as nn
import numpy as np

input = np.random.randn(1, 1, 200)
m = nn.Linear(200, 100)
out = m(input)

print(out.shape)
# (1, 1, 100)

neuralnetwork's Issues

Docs/Comments explaining the concepts and code

Hi buddy,

This is a great project however code is severely lacking documentation/comments. Would like to see that so I can use it for teaching purpose to students starting in ML.

Thanks,
Suyash