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Home Table of Contents Faster R-CNNs Object Detection and DeepLearning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deeplearning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.
in computerscience in 2013 under the guidance of Geoffrey Hinton. Co-inventing AlexNet with Krizhevsky and Hinton, he laid the groundwork for modern deeplearning. His thirst for knowledge took him to the University of Toronto in Canada, where he clinched his Ph.D.
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Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deeplearning has achieved remarkable success in supervised tasks, especially in image recognition. VAEs were introduced in 2013 by Diederik et al. Or requires a degree in computerscience?
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