Fruits and Vegetables Recognition System Part-4 | Training and Compiling Image Recognition Model

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  • Опубликовано: 11 сен 2024
  • Hello and Welcome guys
    In this project we'll learn how to make powerful deep learning model for 36 different classes of image
    In this video,
    We'll compile convolution neural network using tensorflow
    We'll also perform training of convolution neural network and also understand how to choose different parameter values , what is the meaning of each parameter
    Playlist Link: • Fruits and Vegetables ...
    Project Link:
    github.com/ani...
    Dataset Link:
    www.kaggle.com...

Комментарии • 15

  • @sandrasanthosh9669
    @sandrasanthosh9669 Месяц назад +1

    sir i understood that you used CNN architecture, but is there any specific CNN type you are using

    • @SPOTLESSTECH
      @SPOTLESSTECH  Месяц назад

      No here whatever architecture is developed its developed from scratch using tensorflow

    • @sandrasanthosh9669
      @sandrasanthosh9669 Месяц назад +1

      @@SPOTLESSTECH thank you sir

  • @Aditya-gj4pb
    @Aditya-gj4pb 3 месяца назад +1

    Error is displaying after train_function that unexpected result of train function

  • @deathigniter2155
    @deathigniter2155 Месяц назад +1

    At 4:00 after runnign this command , i got a value error saying " ValueError: Arguments `target` and `output` must have the same shape. Received: target.shape=(None, 36), output.shape=(None, 7056) ". Please Help

    • @SPOTLESSTECH
      @SPOTLESSTECH  Месяц назад

      Change number of units value in output layer equal to number of classes present in your dataset
      If you are using same dataset as in video then change it to 36

    • @deathigniter2155
      @deathigniter2155 Месяц назад

      @@SPOTLESSTECH I got my error fixed by a very strange thing suggested by gemini , and that was to use cnn.compile (this line) with training history line and run them together , i dont know what was the reason behind it, but worked for me.

    • @deathigniter2155
      @deathigniter2155 Месяц назад

      @@SPOTLESSTECH Thanks for replying man , i appreciate it

  • @Aditya-gj4pb
    @Aditya-gj4pb 3 месяца назад +1

    Error is displaying after training_history=cnn that unexpected result of train function

    • @SPOTLESSTECH
      @SPOTLESSTECH  3 месяца назад

      Dm details with screenshot of error on Instagram page will help you to fix that

  • @bungthoishilshi132
    @bungthoishilshi132 2 месяца назад +1

    bro after compiling my accuracy is only 0.028 (very low) i'm confused pliz 🙏help!!!!!!!

    • @SPOTLESSTECH
      @SPOTLESSTECH  2 месяца назад

      Check your model architecture is it same as in video

    • @bungthoishilshi132
      @bungthoishilshi132 2 месяца назад

      i compiled again from the beginning and change the optimzer to 'adam' and works fine....thanks

  • @DimejiOlaleye-li7jt
    @DimejiOlaleye-li7jt 3 месяца назад +1

    error is displaying after training function, i've sent a dm to your instagram about it