could you please post lecture on neural networks professor you are awesome!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
some feedback : very shallow , non concrete throw of words without deep explanation. for ex : 1) P(x|y) , no mention of what y is. 2) super resolution and signal processing examples : why is this not representation learning , model still learns a representaiton in these cases 3) imitation learning , again why is this not supervised learning (just because its RL) . Too much usage of jargon and no depth
Thank you for releasing this online! You're a legend
Thanks so much for fixing the audio! Looking forward the course!
I had been looking for CS236 videos and couldn't find any, then the next day I find this course that teaches from the same slides. Woohoo!!!
Hey Volodymr -- Any chance that additional lectures will be added? I loved this first one
Does anyone know where I can find the assignments?
Hi, where can I get the slides of the course?
Please use generative AI to super resolution the audio behind this video!
Where to find the assignments? They are absent in the website.
could you please post lecture on neural networks professor you are awesome!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
some feedback : very shallow , non concrete throw of words without deep explanation. for ex : 1) P(x|y) , no mention of what y is. 2) super resolution and signal processing examples : why is this not representation learning , model still learns a representaiton in these cases 3) imitation learning , again why is this not supervised learning (just because its RL) . Too much usage of jargon and no depth
it's just an intro bro relax...