Natural-Language-Processing

Detailed expalnation of natueal naluage processing in this repositery i try to maintain all of tools for NLP model. Logisitc regression inilization Regularization Forward propogation Back Propogation update parameter layer model compute cost function Linear activitation backward linear forward layer size layer activitation forward L- layer application Array file of sound sigmoid initilize weight with zero edge detection with camera summarization Two layer model Application optimize Finally MOdel on Allstate claims sevirity model

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Building your Deep Neural Network - Step by Step.ipynb		Building your Deep Neural Network - Step by Step.ipynb
Course_3_Week_2_Lesson_1.ipynb		Course_3_Week_2_Lesson_1.ipynb
Deep Neural Network - Application.ipynb		Deep Neural Network - Application.ipynb
Edge detection with camera.ipynb		Edge detection with camera.ipynb
Inilization parameter deep neural network.ipynb		Inilization parameter deep neural network.ipynb
Initialization.ipynb		Initialization.ipynb
Initilize with zero.ipynb		Initilize with zero.ipynb
L model backward.ipynb		L model backward.ipynb
L-layer application neuron nework week 4.ipynb		L-layer application neuron nework week 4.ipynb
L-model forward.ipynb		L-model forward.ipynb
Layer sizez.ipynb		Layer sizez.ipynb
Logistic Regression with a Neural Network mindset.ipynb		Logistic Regression with a Neural Network mindset.ipynb
Modelling-Allstate-Claims-Severity.ipynb		Modelling-Allstate-Claims-Severity.ipynb
Modelling-Allstate-Claims-Severity1.ipynb		Modelling-Allstate-Claims-Severity1.ipynb
Planar data classification with one hidden layer.ipynb		Planar data classification with one hidden layer.ipynb
README.md		README.md
Regularization.ipynb		Regularization.ipynb
Sigmoid.ipynb		Sigmoid.ipynb
Summarization -NLP.ipynb		Summarization -NLP.ipynb
Two layer model Application week 4.ipynb		Two layer model Application week 4.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
Week 2 model.ipynb		Week 2 model.ipynb
back propogation.ipynb		back propogation.ipynb
compute cost deep learning.ipynb		compute cost deep learning.ipynb
compute cost.ipynb		compute cost.ipynb
forward propogation.ipynb		forward propogation.ipynb
initiliaze parameter week 4.ipynb		initiliaze parameter week 4.ipynb
initiliaziation.ipynb		initiliaziation.ipynb
linear activation backward.ipynb		linear activation backward.ipynb
linear activation forward week 4.ipynb		linear activation forward week 4.ipynb
linear backward.ipynb		linear backward.ipynb
linear forward.ipynb		linear forward.ipynb
neural networkmodel.ipynb		neural networkmodel.ipynb
optimize.ipynb		optimize.ipynb
predict (2).ipynb		predict (2).ipynb
predict.ipynb		predict.ipynb
propogate.ipynb		propogate.ipynb
update parameter deep learning.ipynb		update parameter deep learning.ipynb
update parameter.ipynb		update parameter.ipynb

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