Transfer Learning, Fine-Tuning ResNet50 || CNN || Image Classification || Deep Learning || AI

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  • Опубліковано 23 гру 2024

КОМЕНТАРІ • 5

  • @anjumzahid789
    @anjumzahid789  5 днів тому

    Important Correction:
    In the code, the labels=[1, 0] argument was missing in the confusion_matrix() function. This caused the confusion matrix plot to be flipped, altering the mean values of TP, TN, FP, and FN. The correction has been made in the code file available on [GitHub link]. Please check the updated version for accurate results.

  • @anjumzahid789
    @anjumzahid789  5 днів тому

    Data Set Download Link:
    www.kaggle.com/c/dogs-vs-cats/data

  • @harithapa9262
    @harithapa9262 4 дні тому +1

    Please help me 😢
    Can you create CNN classification for medical domain like Brain tumors classification and there can you get at least 90% precision recall f1 🤔
    Please try to create this model because I never get more then 50% accuracy for medical domain. 😢
    It would be great if you create this model

    • @anjumzahid789
      @anjumzahid789  4 дні тому

      Yes. Can you give me data. Or data set link. So i can optimize the specific model.

    • @harithapa9262
      @harithapa9262 4 дні тому

      @anjumzahid789 You will get data from kaggle just search for Brain Tumors classification and you will get lot of data 😊