Lesson 2 Wiki - With timeline

• batch size, start at 64 till out of memory, then half , and half and half and so on

Increasing size

• pass in a larger sized data (images)through a pretrained model

• starting training on small images, then start on larger images, avoid over fitting.

• under fitting validation loss is a lot less then training set loss => increase cycle_len

Reading Information from csv Lesson 3 34:27

data=ImageClassifier.from_csv

Using panads for writing txt file lesson 3 35:31

Lesson 2 notebook starts at 1:53

satellite images

aws set 1:59