Python_Basics_With_Numpy_v3a:
https://github.com/StavC/Coursera-DeepLearning-Specialization/tree/master/Neural%20Networks%20and%20Deep%20Learning%20-1/Week%202/Python_Basics_With_Numpy_v3a
some basic functionally with Numpy.
Logistic_Regression_with_a_Neural_Network_mindset_v6a:
https://github.com/StavC/Coursera-DeepLearning-Specialization/tree/master/Neural%20Networks%20and%20Deep%20Learning%20-1/Week%202/Logistic_Regression_with_a_Neural_Network_mindset_v6a
First Logistic Regression in this course with Numpy
Planar data classification with a hidden layer
https://github.com/StavC/Coursera-DeepLearning-Specialization/blob/master/Neural%20Networks%20and%20Deep%20Learning%20-1/Week%203/Planar_data_classification_with_onehidden_layer_v6c.ipynb
generate red and blue points to form a flower then fit a neural network to correctly classify the points
Building a Deep Nerual network from scracth
https://github.com/StavC/Coursera-DeepLearning-Specialization/blob/master/Neural%20Networks%20and%20Deep%20Learning%20-1/Week%204/Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb
Building a Cat-non Cat classifier by using the Deep Nerual network that i built
