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Deep learning has been one of the most prominent machine learning techniques nowadays, being the state-of-the-art on a broad range of applications where automatic feature extraction is needed.
Cost-sensitive learning of classification knowledge and its applications in robotics
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Autoencoders, unsupervised learning, and deep architectures
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Convolutional neural networks for speech recognition
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Caffe: Convolutional architecture for fast feature embedding
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