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5 search results found

Gradient Descent Algorithms ⭐ 19

A collection of various gradient descent algorithms implemented in Python from scratch

Timeserieslearning ⭐ 14

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

Variants Of Rmsprop And Adagrad ⭐ 13

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Dropout Vs Batch Normalization ⭐ 8

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

Road_object_detection ⭐ 5

Object recognition AI using deep learning

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