Conv2D Layer | Computer Vision with Keras p.3

Поделиться
HTML-код
  • Опубликовано: 12 сен 2024
  • You can Build Computer Vision software to DETECT and TRACK any Object.
    → 4-Step FREE Workshop pysource.com/b...
    In this new video for the first time, we will get into a Convolutional layer, to understand what it is, how it works, and how we can configure it.
    We'll display some practical examples as well, so even if you're a beginner I'm sure that everything will make sense to you.
    Blog: pysource.com/2...
    ➤ Courses:
    Full Computer Vision course: pysource.com/o...
    Training Mask R-CNN PRO (Notebook + Mini-Course): pysource.com/m...
    Blueprint: pysource.com/b...
    ➤ Follow me on:
    LinkedIn: / pysource
    ➤ For business inquiries:
    pysource.com/c...
    #keras #computervision #Conv2D

Комментарии • 8

  • @vadimcosman5480
    @vadimcosman5480 11 месяцев назад +1

    Great content, was easy to understand the way it works. Thank you very much!

  • @dev.lionel
    @dev.lionel Год назад

    Conv2d and convolution in general well understood. Thanks

  • @Azlafcokis
    @Azlafcokis 2 года назад +1

    For identification and verification processes, please show us how to convert image files into npy, npz or pickle. Also please make some videos about verification to calculate equal error rate, receiver operator characteristics (roc) curve. Best wishes

  • @mateusmedeiros8025
    @mateusmedeiros8025 2 года назад

    thanks for your help, you explain very well; say hello to Brazil!

  • @rushalbutala
    @rushalbutala Год назад

    great video very helpful thanks!!!

  • @ilkay3359
    @ilkay3359 2 года назад

    thank you for videos sir, best wishes to you.

  • @FawazAlghfari
    @FawazAlghfari 2 года назад +1

    great👏

  • @armankarimipy
    @armankarimipy Год назад

    hi, do you know how Feature Mapping and Filter Viz. in YOLOv2 by Keras?