How Artificial Neural Networks(ANN) works? | AI ML tutorials by a Data Scientist | Thinking Neuron

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  • Опубліковано 16 січ 2025

КОМЕНТАРІ • 15

  • @jarno_r
    @jarno_r 2 роки тому +1

    One of the best explanations I've heard so far! Great video!

  • @Nayab492
    @Nayab492 9 місяців тому +2

    Wow that was a great explanation you really did a good job especially pointing out the input layer placeholder thing i also had that misconceptions but now it's cleared thanks 🙇‍♂️

    • @thinking_neuron
      @thinking_neuron  9 місяців тому

      Thank you for the kind words! I am happy that it was useful for you!

  • @surendraverma2501
    @surendraverma2501 Рік тому +1

    This is the video I was searching for a long. Thank you, Sir

  • @Breaking_Bold
    @Breaking_Bold Рік тому +1

    Very nice explanation !!!

  • @ANNALATHAMPHD
    @ANNALATHAMPHD 2 роки тому +1

    Really I learned a lot about Neural network. Thank you sir.

  • @anonkiddo
    @anonkiddo 11 місяців тому

    Farooq bhai - I'm not sure if you will read this comment, still thank you so much! This is such great content! I hope you find all the success your deserve in your life.

    • @thinking_neuron
      @thinking_neuron  11 місяців тому +1

      Thank you sir! I read it and it brought a smile to my face! Bless you for taking time to appreciate the efforts. More power and success to you!

  • @neerajtripathy6526
    @neerajtripathy6526 2 роки тому +1

    Plz provide a video how to maintain high accuracy by turning the the parameter and what are best parameter tunning mechanism

  • @JoshuaUngab
    @JoshuaUngab 3 роки тому

    Thank you for this video Sir. I was able to fully understand the concept of ANN. Aspire to be a Data Scientist :)

  • @sketchytv1321
    @sketchytv1321 2 роки тому

    بہت اعلیٰ ۔ایک مکمل ٹیوٹوریل کی ریکوسٹ ہے۔ڈیپ لرننگ اور ڈیپ لرننگ کی پلیز

  • @neerajtripathy6526
    @neerajtripathy6526 2 роки тому

    Also provide cnn and rnn video in detail

  • @guozhou-p3z
    @guozhou-p3z 7 місяців тому

    你的视频非常好,但是流量不高,严重被低估了。