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ObjectRecognization-in-Image-data-using-ResNet50

Steps taken to build the model/neral network: First download the kaggle.json file fromm your kaggle account and load the dataset i.e CIFAR-10 dataset using the api in your google colab directory. CIFAR-10 dataset consists of 60,000 color images with dimensions 32*32 and consists of 10 classes. Then follow the different steps that you can find in the attached colab file.

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Use Pretrained CNN ResNet50 to recognize objects in image data

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