GitHub - ahmedmustahid/Deep_Learn_Coursera: My solutions for the assignments of deep learn course by Prof Andrew Ng of Stanford University

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My solutions for the assignments of deep learn course by Prof Andrew Ng of Stanford University

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Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
.ipynb_checkpoints		.ipynb_checkpoints
datasets		datasets
yolo		yolo
'Coursera 8YLWZGPKBGST.pdf'		'Coursera 8YLWZGPKBGST.pdf'
.DS_Store		.DS_Store
.assgn1.py.swp		.assgn1.py.swp
Art_Generation_with_Neural_Style_Transfer_v3a.ipynb		Art_Generation_with_Neural_Style_Transfer_v3a.ipynb
Autonomous_driving_application_Car_detection_v3a.ipynb		Autonomous_driving_application_Car_detection_v3a.ipynb
Building+your+Deep+Neural+Network+-+Step+by+Step+v8.ipynb		Building+your+Deep+Neural+Network+-+Step+by+Step+v8.ipynb
Copy_of_Exercise_5_Question.ipynb		Copy_of_Exercise_5_Question.ipynb
Copy_of_Exercise_7_Question.ipynb		Copy_of_Exercise_7_Question.ipynb
Copy_of_rock_paper_scissors.ipynb		Copy_of_rock_paper_scissors.ipynb
Deep+Neural+Network+-+Application+v8.ipynb		Deep+Neural+Network+-+Application+v8.ipynb
Face_Recognition_v3a.ipynb		Face_Recognition_v3a.ipynb
Gradient+Checking+v1.ipynb		Gradient+Checking+v1.ipynb
Logistic+Regression+with+a+Neural+Network+mindset+v5.ipynb		Logistic+Regression+with+a+Neural+Network+mindset+v5.ipynb
Optimization+methods.ipynb		Optimization+methods.ipynb
Parameter_Initialization.ipynb		Parameter_Initialization.ipynb
Planar+data+classification+with+one+hidden+layer+v5.ipynb		Planar+data+classification+with+one+hidden+layer+v5.ipynb
Regularization+-+v2.ipynb		Regularization+-+v2.ipynb
Residual+Networks+-+v2.ipynb		Residual+Networks+-+v2.ipynb
Tensorflow+Tutorial.ipynb		Tensorflow+Tutorial.ipynb
assgn1.py		assgn1.py
gc_utils.py		gc_utils.py
index.html		index.html
lr_utils.py		lr_utils.py
planar_utils.py		planar_utils.py
testCases.py		testCases.py