Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
Cray Inc. (Nasdaq: CRAY) announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep ...
Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google ...
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