Skip to main content

A beginner-friendly neural network library using PyTorch and NumPy.

Project description

BeginnerNN

A Python library to simplify creating neural networks for beginners, using PyTorch and NumPy to make it easy to use.

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

BeginnerNN-1.0.0.tar.gz (2.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

BeginnerNN-1.0.0-py3-none-any.whl (2.1 kB view details)

Uploaded Python 3

File details

Details for the file BeginnerNN-1.0.0.tar.gz.

File metadata

  • Download URL: BeginnerNN-1.0.0.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.9

File hashes

Hashes for BeginnerNN-1.0.0.tar.gz
Algorithm Hash digest
SHA256 194488c56ce4b8e12514fd400316f0426a8d4b1844058a8e2809cd24fea1e04d
MD5 e32d051286b72dea32f7fab904f2fe05
BLAKE2b-256 713ea883b980aec949c55803249112523b4b5f54d85fd223df002909c9143cca

See more details on using hashes here.

File details

Details for the file BeginnerNN-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: BeginnerNN-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 2.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.9

File hashes

Hashes for BeginnerNN-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9db87c0f2488a422da515f990ffc05abe98d6c9e66b6bcf24d4113eceb06f4ed
MD5 01fd8b7035a603bef9a93e7b688dc395
BLAKE2b-256 23f108f35170fad59ef80b6a379315b8704f4ecdbe08583b853ccbae1511abd3

See more details on using hashes here.

Supported by

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