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Training models in the project is done using Google Cloud Vision. In order to make full use of this, a contributor should also understand how the training procedure actually works.
I will put an example notebook that is trained on a dataset of 5 categories of flowers along with a detailed explanation of what is happening.
I will use feature extraction and fine-tuning methods on the VGG19 network and the DenseNet network pre-trained on the ImageNet dataset.
The text was updated successfully, but these errors were encountered:
yashk2000
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Jun 29, 2020
Training models in the project is done using Google Cloud Vision. In order to make full use of this, a contributor should also understand how the training procedure actually works.
I will put an example notebook that is trained on a dataset of 5 categories of flowers along with a detailed explanation of what is happening.
I will use feature extraction and fine-tuning methods on the VGG19 network and the DenseNet network pre-trained on the ImageNet dataset.
The text was updated successfully, but these errors were encountered: