NCA-GENM Exam Dumps | You are working on a project to classify images of different types of flowers. You have a relatively

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Question 169/192

You are working on a project to classify images of different types of flowers. You have a relatively small dataset (around 500 images per class). Which of the following techniques would be the MOST effective to improve the performance of your image classifier, considering the limited data?

A. Train a very deep convolutional neural network from scratch-

B. Apply aggressive data augmentation techniques, such as random rotations, flips, and crops.

C. Use a pre-trained convolutional neural network on a large dataset like ImageNet and fine-tune it on your flower dataset

D. Reduce the image resolution to decrease the number of parameters in the model.

E. Use a simple linear classifier.

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