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GitHub / arkanivasarkar / Deep-Learning-from-Scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arkanivasarkar%2FDeep-Learning-from-Scratch

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 18.1 MB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 2 months ago

Topics: activation-functions, batchnorm, cnn, cross-entropy-loss, deep-learning, dropout, feedforward-neural-network, neural-network, neural-networks-from-scratch, numpy, oops-in-python, optimizer, pooling, rnn, university-assignment

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