SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Successfully reported this slideshow.
Activate your 14 day free trial to unlock unlimited reading.
Updated version of the Practical Guide to Deep Learning with some actual projects, and our process of working through deep learning projects - less end to end, more joining several models together
Updated version of the Practical Guide to Deep Learning with some actual projects, and our process of working through deep learning projects - less end to end, more joining several models together
16.
FICTION ADULT
MATH REFERENCES
US-CENTRIC
CHICK LIT
FUNNY
SCI-FI
LAWYERS
WOULD BRAD PITT PLAY A
CHARACTER IN THE MOVIE?
EMBEDDING
[ 0.01949719, 0.09399229, -0.01618082, -0.00876935, 0.03146157, 0.06853894, 0.00096175, -0.06854118, -0.04771797, -0.05296798, 0.02119147, 0.00511259, 0.1372668
34.
WHAT IS THE PROBLEM?
HOW WILL THE MODEL BE
USED? / REQUIREMENTS
HOW IS IT DONE TODAY?
IS IT FEASIBLE?
ETHICAL CONCERNS
UNDERSTAND THE BUSINESS NEEDS
35.
UNDERSTAND THE
BUSINESS NEEDS
MINE CLEAN EXPLORE
36.
UNDERSTAND THE
BUSINESS NEEDS
MINE CLEAN EXPLORE
ENGINEER MODEL DEPLOY
37.
LOTS OF LABLED SAMPLES and
NO CONSEQUENTIAL DECISIONS
SHOTS ON GOAL
38.
LOUD CROWD
GOAL VISIBLE
SPEED/DIRECTION PLAYER DENSITY
PLAYER POSES