ResNet-50 is a convolutional neural network architecture commonly used in deep learning for various computer vision tasks, such as image classification and object detection. It is part of the ResNet (Residual Network) family of architectures, which was introduced by Kaiming in 2015
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ResNet-50 is a convolutional neural network architecture commonly used in deep learning for various computer vision tasks, such as image classification and object detection. It is part of the ResNet (Residual Network) family of architectures, which was introduced by Kaiming in 2015
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