Key points

Lesson four

Drop out

fastai proc_df()

what we do with continuos data 1:40min

embedding matrix - distributed representation

you can pass in custom matrics in your .fit() method as .fit(lr,3,metrics=[exp_rmspe] exp_rmspe was crate earlier in the notebook. Does'nt not chabge training on what is printed out.

Lesson 5

dictionary mapping

fit function 57min

bias

broadcasting 1:05

capital F thing

Stochastic gradient descent

momentum

admam

weight decay l2 reg etc

linear interpolation

chain rule

Lesson 6

questions

learner.fit vs fit(model)