PyCore

Classification Neural Network

Description

This project is a versatile neural network package specifically designed for classification tasks. It can be used for training various deep learning models, including image recognition. The package includes an example project for MNIST classification to demonstrate its capabilities. With its flexible architecture, the package is suitable for a range of classification tasks requiring deep learning, offering high accuracy and reliability.

Getting Started

Dependencies

• numpy
• matplotlib
• albumentations
• scikit-learn
• jupyter
• scipy
• scikit-image
• pillow
• customtkinter

Installing

1. Clone the repository
2. Navigate to the package directory
3. Run pip install . to install package

or

1. Run pip install git+https://github.com/Havilash/Neural-Network.git#egg=neural_network to install package

Executing program

• Import package

from neural_network import activations, costs, nn as neural_network, layers, gui, constants
from neural_network.data import get_mnist_data, get_augmented_mnist_data, train_test_split
from neural_network.filters import ALL_FILTERS

• Run example project python ./neural_network/main.py or python -m neural_network.main

Authors

• @Havilash
• @Gregory
• @Nicolas
• @Ensar

License

see the LICENSE file for details