Fastbook Chapter 1 questionnaire solutions (wiki)

In reference to your point about #16: From my understanding, it makes sense to separate the loss function and the optimizer. Before you can optimize and update weights, first you must know how good/bad the current weights are. Therefore, it’s important to recognize that we need a loss function in order to train a model. Point 24 is just following up and making sure we know what a loss function is.

I was wondering if it’s ok to create blogs answering the questions in the book?

I don’t see why not!

Don’t you think Answer of 13 should be this:

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Yes I do :slightly_smiling_face:

1 Like

:smiley:

Where do we set the “loss” criteria for the actual optimization method? Is it hardcoded in the “architecture” ? In codes of chapter 1, only metric is set…