Activities for Slides 8 & 9. Things learned and implemented here
Created Neural Network.
Used the sigmoid activation function in our neurons.
Saw that neural networks are just neurons connected together 
Created a dataset with Weight and Height as inputs (or features) and Gender as the output (or label).
Learned about loss functions and the mean squared error (MSE) loss.
Realized that training a network is just minimizing its loss.
Used backpropagation to calculate partial derivatives.
Used stochastic gradient descent (SGD) to train our network.