https://github.com/reshalfahsi/neuralnetwork

Implementation of Artificial Neural Network Algorithm
https://github.com/reshalfahsi/neuralnetwork

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent machine-learning medical-image-processing medical-insurance-costs medmnist neural-network newton-method python

Last synced: about 6 hours ago
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Implementation of Artificial Neural Network Algorithm

• Host: GitHub
• URL: https://github.com/reshalfahsi/neuralnetwork
• Owner: reshalfahsi
• License: mit
• Created: 2019-07-19T07:48:06.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2024-03-20T17:08:57.000Z (8 months ago)
• Last Synced: 2024-07-30T18:02:00.491Z (4 months ago)
• Topics: artificial-intelligence, artificial-neural-networks, deep-learning, deep-neural-networks, gradient-descent, machine-learning, medical-image-processing, medical-insurance-costs, medmnist, neural-network, newton-method, python
• Language: Jupyter Notebook
• Homepage:
• Size: 36.1 MB
• Stars: 1
• Watchers: 4
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Neural Network



  

  



A naive implementation of a neural network. The code structure is heavily inspired by [PyTorch](https://github.com/pytorch/pytorch) and [TensorFlow](https://github.com/tensorflow/tensorflow). However, this package is used for educational purposes and is not intended to be adopted in production.

## Installation

```bash

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`](https://github.com/reshalfahsi/neuralnetwork/blob/main/examples/classification.py) and [`notebook/Classification.ipynb`](https://github.com/reshalfahsi/neuralnetwork/blob/main/notebook/Classification.ipynb) for the classification problem. We also provide am example for regression problem: [`examples/regression.py`](https://github.com/reshalfahsi/neuralnetwork/blob/main/examples/regression.py) and [`notebook/Regression.ipynb`](https://github.com/reshalfahsi/neuralnetwork/blob/main/notebook/Regression.ipynb).

```python

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)

```