Skip to main content

An inefficient (for the moment) neural network with numpy

Project description

This is a simple python library developed by Francesco Paolo Liuzzi and Paul Maximilian Magos for the Machine Learning course of the University of Pisa AI Master's Degree.


First time you clone the repo:

> python3 -m venv batNNvenv
> source batNNvenv/bin/activate
> pip install --upgrade pip
> pip install -r requirements.txt

Activate local env :

> source batNNvenv/bin/activate

Build the library:

> python setup.py bdist_wheel

Install the library:

> pip install /dist/*.wheel

Once you have installed it you can call it like any other library:

import batNNlib
from batNNlib import batNN

Notice that this installation, if performed this way, will install the library in the local env. To install it in any other environment such as your global env, deactivate the local one and activate yours:

> deactivate

% conda activate myenv
or 
% pyenv activate myenv 
or etc...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

exclusiveAI-0.0.21.tar.gz (23.9 kB view hashes)

Uploaded Source

Built Distribution

exclusiveAI-0.0.21-py3-none-any.whl (38.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page