In this project, we are going to use the fastai library to train on the ImageNet dataset and evaluate our ResNet model. The imagenette2-160 dataset is from the fastai dataset repository (https://course.fast.ai/datasets) that contains smaller size images of the things around us which range from animals to cars. The ResNet-18 model architecture is available at Deep Residual Learning for Image Recognition. We won't be going deep into the dataset or how model architecture works, instead, we will be focusing on how fastai.jl has made deep learning easy.

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