you can do deep learning. mentioning <http://course-v3.fast.ai|course-v3.fast.ai> and forums

about deep learning, claims about deep learning, black box, needs data etc

starting with resnet 34 since faster, later 50, start with the smaller one and see if it is good enough

4 times how many times do we go through the dataset (overfitting vs pets in general)

( we can clean these notes, and generate time stamped links to the correct place int the videos) feel free to add your own

feedback: fell into habit of googling without running the code, regret spent 70h didnt run code So spend time running the code

where does it take you: sarah hooker example, delta analytics, mobile phones to listen to chainsaw noises, alerting rangers to stop deforestation, she is now a google brain researcher, setting up google brain research center in africa

chrisitine MLeavey Payne at <http://open.ai|open.ai>, music samples, automatically create chamber music compositions, classical pianist

alex, overfitting, combinding radiology skills: combine your domain expertise

alex, overfitting, combinding radiology skills: combine your domain expertise

Melissa Fabros, helped Kiva, a microlending lending to build a system to recognize faces (also black women and not only white men)

the course can get you to the cutting edge, example world record in image net with $40 of compute

helena saren, @glagolista a new style of art combines her paintings with GANs

forum threads can turn into to something great, language model zoo, lots of different languages =&gt; academic comptetition, thai, german state of the art, done by students working together on the forum

dont be intimidated, you can feel like you are the only new person. you get state of the art, i cant start my server.. don't be shy, provide info, everyone on the forum started out intimidated

q: why are you using resnet vs inception: resnet good enough, inception memory intesinve, it is ok