Education
Alex Au, Apurva Naik, and Edderic Ugaddan discuss the first part of Lesson 2 of Practical Deep Learning for Coders. Apurva and Alex talks about feeling that the segue-way between lesson 1 and 2 was not smooth. For lesson 1, Jeremy Howard, one of the instructors of Practical Deep Learning for Coders course, asked people to do a submission to Kaggle without leaving any hint on how to do it. Apurva feels "betrayed" that Jeremy did not point out that he would talk about it in Lesson 2. As a result of not having seen the next episode for a while, she had too many unfruitful attempts. Edderic suggests that the course should be "Practical Deep Learning for Computer Scientists" instead of "Practical Deep Learning for Coders" due to lots of mathematical foundation work (Calculus, Linear Algebra, etc.) needed for really understanding the theory. Alex asks about the difference between the "test" folder and the "valid" folder.