Lecture 9: Hardware and Software

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  • Опубліковано 25 лис 2024

КОМЕНТАРІ • 9

  • @jackroubaud8133
    @jackroubaud8133 4 роки тому +25

    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
    @KovarishxD 2 роки тому +7

    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
    @cc98-oe7ol 8 місяців тому +1

    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
    @rajivb9493 3 роки тому

    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
    @alexrider1105 10 місяців тому +1

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

  • @sardorabdirayimov
    @sardorabdirayimov Рік тому +1

    Watching about pytorch and tesorflow after 4 years is quite funny