Lecture 9: Hardware and Software

[@jackroubaud8133]

This is really really excellent series of video. It takes time, but it's definitely worth it. it gathers all pieces learnt along the way add new ones, and put all of them into order. Many thanks for sharing this ! great contribution to computer vision with AI

[@KovarishxD]

I wish more universities would publish their courses and lectures. This is super good for those who doesn't have the privilege to attend such great courses.

[@cc98-oe7ol]

This is really good lecture that teaches us the concepts of PyTorch and how to use it in great details. Afaik, many lectures only focus on theory or something, and they seldom teach you how to TRANSLATE math INTO code. I do consider that as very irresponsible, it's like your calculus prof only teaches you what is limit and what is Riemann integral, but never show you how to integrate ln(x).

[@rajivb9493]

In the HW part, can you throw some light on Embedded platforms, boards or Modules which can support Deep Learning like Google Coral Dev Board, NVIDIA Jetson Nano, BeagleBone AI Boards which are specific to embedded machine learning for computer vision ?

[@alexrider1105]

If I watched this lecture in 2019, I would've bought NVIDIA stock in 2020, and in 2024, I'd be rich

[@sardorabdirayimov]

Watching about pytorch and tesorflow after 4 years is quite funny

[@noornizar8533]

wdym

[@AbhishekSharma-ge5bv]

i don't get it. whats funny?

[@sardorabdirayimov]

@@AbhishekSharma-ge5bv pytorch 4 years ago and now is basically same. I found it 4 years ago!