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Ioannis Pitas (AUTH)
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This lecture overviews Deep Autoencoders that has many applications in image denoising, classification, generation and in object pose estimation. It covers the following topics in detail: unsupervised learning, autoencoder principles, deep autoencoder types (Sparse/variational/ Convolutional/Adversarial Autoencoders) and their applications.
Should you require access to the resource, please contact the author directly.
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