nestrov-accelereated-gradient

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nisheethjaiswal / ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD

Deep Learning Optimizers

deep-learning adadelta adagrad rmsprop stochastic-gradient-descent adam-optimizer adamax mini-batch-gradient-descent sgd-optimizer amsgrad sgd-momentum nestrov optimizers adabelief nestrov-accelereated-gradient n-adam visualizing-optimizers

Updated May 29, 2021
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Raafat-Nagy / Implementations_of_ML_and_DL_Optimizers

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This repository provides implementations of numerical optimization algorithms for machine learning and deep learning. It includes clear explanations, mathematical formulas, Python code, and visualizations to help understand the behavior of each optimizer.

machine-learning deep-learning gradient-descent adagrad rmsprop adam-optimizer batch-gradient-descent mini-batch-gradient-descent momentum-optimization-algorithm nestrov-accelereated-gradient stocastic-gradient-descent

Updated Jun 20, 2025
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mahendranandi / Playing-With-Optimizers-in-DL

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Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task

visualization data-science optimizer python3 adadelta sgd classification optimization-algorithms adagrad rmsprop adam-optimizer imdb-dataset sgd-momentum nestrov-accelereated-gradient

Updated Dec 21, 2021
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