Where to start in order to study deep learning

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  • Опубліковано 12 вер 2024

КОМЕНТАРІ • 15

  • @brennenpice4562
    @brennenpice4562 Місяць тому +2

    You inspire me to keep pursing my goal of becoming a deep learning specialist, keep going! You are awesome!

    • @moolmohino
      @moolmohino  Місяць тому

      Thank you!! I hope you achieve your goal!

  • @jensenlwt
    @jensenlwt Місяць тому +1

    been following you awhile, i admire your daily determination to learn more! keep it up man

  • @elfistudy
    @elfistudy Місяць тому +1

    thank you! wish you success in your studies as well

  • @techwithshohruh
    @techwithshohruh Місяць тому +1

    i got very helpful advices from your video. thank you

    • @moolmohino
      @moolmohino  Місяць тому

      @@techwithshohruh im glad to hear that!

  • @lyndonyang1269
    @lyndonyang1269 Місяць тому +2

    tbh this is the way i found most useful and fast too. None of that courses really get you up that quickly. In just 2 weeks, I have learned the basics and build a classification and segmentation model.

    • @moolmohino
      @moolmohino  Місяць тому

      @@lyndonyang1269 thats great!

  • @Idiotichuman7
    @Idiotichuman7 Місяць тому +1

    Is there usually a set and stone time you assign to studying deep learning each day, or do you just get started whenever? Alongside this, was wondering if you allocate a specific amount of time each day as many of your videos are an hour with a margin of 20 minutes. Nevertheless, I truly admire your perseverance and grit!

    • @moolmohino
      @moolmohino  Місяць тому +1

      Thank you! so I set the goal to study one hour a day but sometimes I do more than that depending on the difficulty of the material. I try to do this at least 6 days a week.

  • @asadmehmood3477
    @asadmehmood3477 Місяць тому +1

    How much Stats and Probability Theory Needs for DL and which are of DL required in depth knowledge of SAPT?

    • @moolmohino
      @moolmohino  Місяць тому

      @@asadmehmood3477 you need to know things like discrete and continuous distributions, mean,stddev, variance,MLE,etc