Name		Name	Last commit message	Last commit date
1. GD_Implementation_for_LR_Single_and_MultiVar.ipynb		1. GD_Implementation_for_LR_Single_and_MultiVar.ipynb
2. GD_Variants_Batch_Mini_Batch_Stochastic.ipynb		2. GD_Variants_Batch_Mini_Batch_Stochastic.ipynb
3. Momentum_NAG.ipynb		3. Momentum_NAG.ipynb
4. Adagrad_RMSProp_Adam.ipynb		4. Adagrad_RMSProp_Adam.ipynb
5. Newton_BFGS.ipynb		5. Newton_BFGS.ipynb
Adam vs BFGS (Multi-variate, Batch).ipynb		Adam vs BFGS (Multi-variate, Batch).ipynb
MultiVarLR.csv		MultiVarLR.csv
README.md		README.md
RegData.csv		RegData.csv

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ML_optimization_algorithms

This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

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This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

adagrad adam-optimizer batch bfgs-algorithm gradient-descent mini-batch momentum-optimization-algorithm multivariate nag rmsprop stochastic

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