I'm a computational neuroscience student and researcher. On this channel we seek to understand the brain and do deep explorations of interesting topics & papers from neuroscience (and related fields)
When he shows different time signals that have the same Fourier transform, the amplitude is the same for each signal, but I'm not sure if that's true for the phase response. So, Fourier isn't totally blind to time characteristics, right?
I knew that calculus is important for machine learning but never knew that 12th grade derivatives are that much important. When you said about chain rule, that bring me back to my school days , I never thought that derivatives, integration and probabilities will be used this way in future. Well explained video. Thanks for sharing this knowledge and conveying process much simply.
Amazing video! I have a question that I tried googling and could not get an answer to: Given some non-linear and non-differentiable activation function (e.g. the Relu used as a visual example at the end), how does one deal with that in the backward pass given that action requires the forward pass functions to be differentiable by definition?
I've been trying to get into ML for quite a while now. This is by far the best explanation of gradient descent and back propagation hands down!!! Amazing work!!!
Beyond impressed with this video! I'm a first-year PhD student and this video effectively summarized so many papers I've been reading recently. The visuals are stunning and the teaching so effective. Thank you, Artem!
Studying Bio and Psych in undergrad rn looking to move into neuro this stuff is really helpful, not a lot of practical info about the field out there. Cheers man
As a student in this business, who has passed through a bunch of professors, I can say with confidence! With this trader, you will both learn and earn and, importantly, receive advice. Everything is competent and clear, without a bunch of any unnecessary movements! Keep up the good work!🤣
That was an outstanding explanation. Your ability to explain higher mathematical concepts in such simple terms is really an amazing service to the rest of us who wanna understand these subjects but don’t have a mathematics degree. Thank you.
This is super interesting! I wonder if there is a parallel between this and High Spontaneous vs Low Spontaneous fibers at the ribbon synapses in the Cochlea.
This is literally the best video on yt discussing about wavelets and wavelet transforms along with equally good visualizations and animations. I mean I don't need to write anything more. Just watch it and know for yourself. You wont regret watching it. Read the other comments and it will tell you how good the video actually is. The amount of effort put into the video is commendable. I would like to end this comment saying that I actually learnt more from this half hour video than going through hours of lectures. Huge respect and love from India!
Brilliant, rigorous but accesible explanation. Thanks for your time & effort . My best wishes for your research & career. One request thou, please no music on the background.
