@Slim
Spent the past weeks trying to grasp backpropagation mathematically. Spent countless days on videos and textbooks. This is by far the most intuitive explanation. Just subbed. Thank you.
@leonmark2416
the best session tha i can recommend to anyone. I studied computer science and i am not good at math and this was really a saver to coninue on.
@dxlorean2938
hands down best video about backpropagation out there. subbed
@cgqqqq
the EXACTLY video im looking for and 2:58 is the GEM, everybody is trying to explain backprop of each single weight of each layer w11, w12, w13, then you will drown, image there are100 layers, how to calculate w11, w12, ... w100, even a super computer will blow up. You really need to look at all weights in a single layer as a MATRIX, this is the magic and HACK of linear algebra, only by doing this, no matter how deep the NN is and how many nodes there is in a layer, you will not be afraid of it
@FelipeeNobrega
Wow! Straight to the point You simplified the complex stuff I was struggling with
@asfandiyar5829
Thank you again! This was incredibly simple to understand and exactly what I was looking for.
@parisahajibabaee2893
You can present complex information in simplified manner, many thanks!
@omnnnooy3267
I cannot express how thankful I'm !
@esper5429
The only video that explained me everything
@patrikszepesi2903
at 12:18 at the bottom right corner i think the matrix with the xs should be a 1 x 3 matrix and not a 3x1 matrix, otherwise the matrix multiplication wont work
@karthikb.s.k.4486
Nice session
@user-db2zx3ox7u
very good thanks
@williammartin4416
Very helpful
@Fantastics_Beats
I love you brother your teaching
@sparklexscrewyachivements813
thanks for meaningful describe
@sudheeshe1384
Can you explain about optimizer state
@karthikb.s.k.4486
Can you please do a video on different cross validation techniques in machine learning
@shahulrahman2516
Great video
@polycarpnalela2297
Thanks!! It was very useful
@hieuluc8888