- Build the general architecture of a learning algorithm,including:
- Initializing parameters
- Calculating the cost function and its gradient
- Using an optimization algorithm(gradient descent)
- Gather all three function above into a main model function, in the right order.
1 import the packages
2 overview of the problem set
- dataset = train set / test set
