gradient-check

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SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

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tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay

Updated Jan 31, 2019
Python

ICB-DCM / fiddy

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Finite difference methods.

finite-differences hacktoberfest gradient-check amici

Updated Sep 10, 2026
Python

sauriii98 / Deep-Learning-algorithms

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Implementation of all basic algorithms needed in Deep Learning

deep-neural-networks deep-learning cnn neural-networks deep-learning-algorithms optimization-methods residual-networks optimization-algorithms binary-classification cnn-model basic-algorithm logistic-regression-algorithm initialization cnn-classification gradient-check cat-notcat-classification logistic-regression-using-nn regularization-methods

Updated Jan 27, 2019
Jupyter Notebook

DunittMonagas / Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

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Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning