In this article, the readers will get to compare Wide Residual Networks and Standard Residual Networks in PyTorch. ...
Comparing Wide Residual Networks and Residual Networks in PyTorch
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Computer Vision in AI encompasses various tasks including classical computer vision, deep learning based image classification, image classification, object detection etc.
In this article, the readers will get to compare Wide Residual Networks and Standard Residual Networks in PyTorch. ...
In this article, you will get to use PyTorch Keypoint RCNN model to detect keypoints and bounding boxes on the human body. ...
In this article, we will implement the Stochastic Gradient Descent with Warm Restarts paper using the PyTorch Deep Learning library. ...
In this article, we go through the Stochastic Gradient Descent with Warm Restarts paper. We analyze how the SGDR technique helps in training deep neural networks and converge much faster than other scheduling techniques. ...
In this article, the readers will get to learn how to use learning rate scheduler and early stopping with PyTorch for effective training of deep neural networks. ...
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