What i have learnt!
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 functions above into a main model function, in the right order.
Here we use a single node neural network to classify given set of images based on it's pixels.
Used sigmoid function as activation function.
Calculated the loss and used gradient descent algorithm to optimize the weights.