1) Explain the role of the following degrees of freedom (parameters): i) activation (function), ii) optimizer, iii) loss (function), iv) metric(s), v) epochs, vi) batch size.
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link to MINST code: https://www.dropbox.com/s/i21pedejv0sknnq/MINST.pdf?dl=0
1) Explain the role of the following degrees of freedom (parameters):
i) activation (function),
ii) optimizer,
iii) loss (function),
iv) metric(s),
v) epochs,
vi) batch size.
2) Add a confusion matrix to the MNIST code example from the link provided. Set the epochs parameter to 5. Explain which entry of the matrix yields the number of ones (the number 1) that are falsely recognized as eights (the number 8). (If you use indices in your explanation, use the Python index notation, i.e., start at zero.) Run your code a few times. Is the confusion matrix always the same? Briefly explain.
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