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GitHub / tayebiarasteh / DeepLearning_from_scratch
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tayebiarasteh%2FDeepLearning_from_scratch
Stars: 16
Forks: 2
Open Issues: 0
License: mit
Language: Python
Repo Size: 11.8 MB
Dependencies: pending
Created: over 4 years ago
Updated: 12 months ago
Last pushed: 12 months ago
Last synced: 12 months ago
Topics: adam-optimizer, batch-normalization, cnn, convolutional-neural-networks, deep-learning, deep-neural-networks, deeplearning, dropout, feedforward-neural-network, l1-regularization, l2-regularization, lstm, maxpooling, numpy, pooling, python, recurrent-neural-networks, regularization, rnn, university-course