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This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

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Name		Name	Last commit message	Last commit date
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Abdelrahman_Practical_Session_1_GD_Implementation_for_LR.ipynb		Abdelrahman_Practical_Session_1_GD_Implementation_for_LR.ipynb
Abdelrahman_Practical_Session_2_GD_Variants_Batch_Mini_Batch_Stochastic.ipynb		Abdelrahman_Practical_Session_2_GD_Variants_Batch_Mini_Batch_Stochastic.ipynb
Abdelrahman_Practical_Session_3_Momentum_NAG.ipynb		Abdelrahman_Practical_Session_3_Momentum_NAG.ipynb
Abdelrahman_Practical_Session_4_Adagrad_RMSProp_Adam.ipynb		Abdelrahman_Practical_Session_4_Adagrad_RMSProp_Adam.ipynb
MultipleLR.csv		MultipleLR.csv
NOFML&DS_Final_Practical_Exam.ipynb		NOFML&DS_Final_Practical_Exam.ipynb
README.md		README.md
RegData.csv		RegData.csv
Vectorized & Combined Algorithms.ipynb		Vectorized & Combined Algorithms.ipynb

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Optimization

This repository includes implementation of the basic optimization algorithms

Batch-Mini
stochatic
Gradient descents

NAG Adagrad RMSProp Adam

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This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

optimization gradient-descent optimization-algorithms adagrad rmsprop stochastic-gradient-descent adam-optimizer batch-gradient-descent

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