University of the Cumberlands Research & Summaries Question

Description

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), 1929–1958.

Then,

Explain figure 1 in ‘Introduction’.
Explain figure 2 in ‘Introduction’.
Describe the model via figure 3 (see ‘4. Model Description’).
Describes, in short, a procedure for training dropout neural nets (see ‘5. Learning Dropout Nets’).
Discuss how good the model is based on results in “Table 2: Comparison of different models on MNIST.”

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