This project is all about deep learning in python.I have used two datasets(titanic and hourly wages of the people.)I have use different techniques of neural network to find the accuracy of the datasets.
I have started from basic to advance level of deep learning to describe what is forward propagation and how the activation function plays an important role in deep learning.I have also use different learning rate to know which one has less loss value.
I have use graph to describe which model has good loss value score by using two models with different different density and optimization function.I believe that it is always a good idea to split the data into training and test sets to check the performance of the model.In deep learning we are able to describe the complexity of the model by changing density as well as no of hidden layers.
Link to my work.