Max pooling layer | Computer Vision with Keras p.5

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  • Опубликовано: 29 окт 2024

Комментарии • 6

  • @anatoliebivol155
    @anatoliebivol155 11 месяцев назад

    The image at 9:00 is 8x8 pixels and not 10x10 and later the array is with 8 elements

  • @mateusmedeiros8025
    @mateusmedeiros8025 2 года назад

    Amazing

  • @ilkay3359
    @ilkay3359 2 года назад

    thanks sir.

  • @shivrajjoshi5031
    @shivrajjoshi5031 2 года назад

    Can anyone help me out with following confusion/issue:
    Basically I have two CSV files 1 with 1000 records and 2nd is of almost 300 records.
    I took 1st CSV and made my model means train it tested it based on 1st CSV.
    My training score is 98%
    My test score is 96%
    Which means model is correctly trained.
    Now what I did is I saved that model using pickle and loaded it.
    To check whether my model predicting correctly or not I have used my 2nd CSV file for the prediction and I am seeing that most of the records are not correctly identifying means in reality if value is 1 it says 0 or vice-versa.
    Can anyone help to know what is the issue here.
    All the suggestions are really appreciated thanks.

  • @yuriybaranovskiy9642
    @yuriybaranovskiy9642 2 года назад

    есть ли у вас семинары на русском?

    • @pysource-com
      @pysource-com  2 года назад

      Hi, nope, all the lessons are only in english language