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GitHub / NotShrirang / OpenNN
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NotShrirang%2FOpenNN
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 67.4 KB
Dependencies:
5
Created: over 1 year ago
Updated: about 1 year ago
Last pushed: 6 months ago
Last synced: about 1 month ago
Commit Stats
Commits: 38
Authors: 1
Mean commits per author: 38.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/NotShrirang/OpenNN
Topics: deep-learning, machine-learning, neural-network, numpy
Files
Dependencies
- actions/checkout v3 composite
- actions/setup-python v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite