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Found 3 papers, 1 papers with code
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models
Algorithmic music composition is a way of composing musical pieces with minimal to no human intervention.
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation
In this paper, we address the new item cold-start problem by exploring the potential of various deep learning features to provide video recommendations.
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Recommendation Systems
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(MAP@5 metric)
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
We show that, though the neural network model achieves an accuracy of 80%, it requires long sequences to achieve this (100 samples or more).
