| Deep Learning JP - Part 94

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Seven neurons memorizing sequences of alphabetical images via spike-timing dependent plasticity

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Gradient-based Hyperparameter Optimization through Reversible Learning

‘A Neural Conversational Model’

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‘Compressing Neural Networks with the Hashing Trick’

‘Learning Sentiment-Speciﬁc Word Embedding for Twitter Sentiment Classiﬁcation’

‘Difference Target Propagation’

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‘Deterministic Policy Gradient Algorithms’

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‘Deep Learning (Yoshua Bengio, Ian Goodfellow and Aaron Courville; MIT Press) Chapter 6’

‘Self-Paced Learning with Diversity’

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