Create Deep Neural Network from Scratch using Python3.

with step by step Implementation.

1. Logistic_Regression_with_a_Neural_Network_mindset
   
2. Planar_data_classification_with_onehidden_layer
   
3. Building_your_Deep_Neural_Network_Step_by_Step
   
4. Deep_Neural_Network_Application
   
   

1 - Different_initialization_methods
2 - Regularization
3 - Gradient_Checking
4 - Optimization_methods
5 - TensorFlow_Tutorial

-datasets
-testimages
--SignDetect_NN.ipynb
--signdetect_nn.py
--tf-utils.py

#Logistic Regression
#activation Function
#Forward Propagation
#Backward Propagation
#Cost Function
#Gradient Discent
#Vectorization

#Bias - Variance
#Regularization
#Normalization
#Optimization
#HyperParameter Tuning

#Human Level Performance
#Error Analysis
#train/dev/test Distribution
#Transfer Learning
#End-to-End Deep Learning
#TensorFlow Tuts