Create layers | Computer Vision with Keras p.1

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  • čas přidán 13. 09. 2024
  • You can Build Computer Vision software to DETECT and TRACK any Object.
    → 4-Step FREE Workshop pysource.com/b...
    In this lesson, we will learn today how to prepare the image to be process by the neural networks, and how to build a very simple model creating layers.
    If you've no idea what a neural network is, how the image is loaded, what layers are.. this is the best video for you to start learning it.
    Blog: pysource.com/2...
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    #keraslayers #computervision #tensorflow

Komentáře • 9

  • @bassaladembele6879
    @bassaladembele6879 Před 28 dny +1

    good

  • @HoaTran09
    @HoaTran09 Před 2 lety

    I'm from Vietnam, I really like the way you describe the whole detail of the topic,. Thank you so much and I'm waiting for your wonderful lecture!

    • @pysource-com
      @pysource-com  Před 2 lety +1

      Thanks, new lessons will be coming soon

  • @Loperas2012
    @Loperas2012 Před 2 lety +2

    Really impressed with your awesome didatics. Thank you very much and looking forward for the next class. Regards from Brazil!

  • @electrobrains
    @electrobrains Před 2 lety +1

    keep going dude ,quality content quality channel :)

  • @cyrillecardin2312
    @cyrillecardin2312 Před 2 lety

    Hello thank you for the videos.
    Please could you give me some hints to resolve this problem:
    I am trying to classify 3 classes of skins lesions with keras using transfer learning and ResNet50.
    But my model only predicts one classe whatever change I do in the test dataset.

    • @pysource-com
      @pysource-com  Před 2 lety

      It could be for a lot of different reasons:
      - Poor dataset (not many images, not enough augmentation, wrong model for that specific task)
      - The code is not properly loading the images for the right class, and they get mixed up
      - there is some error on the layer output (so it doesn't give the right result)
      I recomment testing the code with other datasets, to see if it's a problem of the code or of the dataset, before proceeding

    • @cyrillecardin2312
      @cyrillecardin2312 Před 2 lety

      @@pysource-com Thank you for the reply.