This repository contains the implementation of ResNet-50 with and without CBAM. Note that some parameters of the architecture may vary such as the kernel size or strides of convolutional layers. The ...

The paper on residual learning, which introduced a CNN architecture known as ResNet (https://arxiv.org/pdf/1512.03385.pdf), is a popular classic paper that has led to ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Copy CodeCopiedUse a different Browser !pip install torch torchvision matplotlib pillow We import necessary libraries and load the pretrained IBM-supported ResNet-50 model from PyTorch, preparing it ...

Microsoft Vision Model ResNet-50 is a state-of-the-art pretrained ResNet-50 model, measured above by the mean average score across seven popular computer vision benchmarks. Pretrained vision models ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...