Read the following article:

Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. $2014.$ Dropout: a simple way to prevent neural networks from overfitting. J$.$ Mach. Learn. Res. $15,1($January $2014),19291958.$

Then,

Explain figure $1$ in 'Introduction'.

Explain figure $2$ in 'Introduction'.

Describe the model via figure $3($see $\text{'}4.$ Model Description'$).$

Describes, in short, a procedure for training dropout neural nets $($see $\text{'}5.$ Learning Dropout Nets'$).$

Discuss how good the model is based on results in "Table $2$: Comparison of different models on MNIST."