Categorical Cross - Entropy Loss Softmax 

this is hidden gem! Thank you!

Excellent Video Series. I love the question and answer format ! Thanks!

Wow! Hats of to you guys, perfect in demystifying Categorical Cross-Entropy.... thank you!

thank you guys! such a great explanation!

Good Video. The course format make the course look so easy to understand.

Great video, thank you.

Thanks guys!

Great !

wowww

Very good explanation! it's been so hard to find a numerical example. Thank you guys!

wonderfull

thank you very much clear explanation, love it sir

Awesome

Vine buscando cobre y encontré oro!!!!

Very good explaination

At 6:44 there is a mistake in the equation, .715 should be in last log parenthesis instead of .357

Brilliant

why were you using logarithm base 2 ?

how much is an intercontinental ballistic missle?

if i am not wrong, you have used softmax function to normalize i.e. to sum up the probability to 1 but in your examples it is .147+.540+.133+.180 = 1 .160+.323+.357+.160 = 1 .188+.118+.715+.079 = 1.1 can you please help me to understand the above discrepancy

batman and robin

It's a good video but good grief, encourage people to take a week-long course in linear algebra. If you keep feeding them summation symbols and indices they will never do it. It's HARDER, not easier to spell it all out. Professor Strang's course is probably still on youtube if you are interested. You will gain back that week by being twice as productive in the week after. Not to mention the rest of your life.