Thank you Dr.Priya Panda, I truly admire your passion and momentum in delivering the knowledge. I am pumped with your energy. I learned about SNN through your lectures on RUclips, as I am working on my Master Thesis. I am interested in your team's BNTT it is remarkable. I will dig more in your works, thank you so much once again!
The source and all relevant materials (documentation etc.) are typically shared during an education class. Here you will have to ask the author of the tutorial, since this was a 2021 tutorial. Thanks.
These seem recordings of lectures delivered at ESWEEK by educators. But, for this lecture, you may find these slides relevant which are publicly available here: github.com/panda1230/Presentation-Slides/blob/master/SNN_Overview_Website.pdf source: intelligentcomputinglab.yale.edu/publications
Thank you Dr.Priya Panda, I truly admire your passion and momentum in delivering the knowledge. I am pumped with your energy. I learned about SNN through your lectures on RUclips, as I am working on my Master Thesis. I am interested in your team's BNTT it is remarkable. I will dig more in your works, thank you so much once again!
covered almost everything related to spiking neural networks, such a helpful video thank you for providing it on RUclips .
The most informative and intuitive lecture on this topic. Great overview and interesting examples. Thank you prof.
The source and all relevant materials (documentation etc.) are typically shared during an education class. Here you will have to ask the author of the tutorial, since this was a 2021 tutorial. Thanks.
is the code implementation available ?
Thanks for your excellent lecture. Could you please share the slides? Thanks!
the smaller leaky constant is better or larger??
The lecture is so helpful! I wonder whether the lecture slides are available online? Thanks!
can u provide this ppt ?, i shall be very thankful to you.
These seem recordings of lectures delivered at ESWEEK by educators. But, for this lecture, you may find these slides relevant which are publicly available here: github.com/panda1230/Presentation-Slides/blob/master/SNN_Overview_Website.pdf
source: intelligentcomputinglab.yale.edu/publications
Good lecture
Thank you Maa'm.
good video！