开课单位--蒙特利尔大学
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Show, Attend and Tell: Neural Image Caption Generation with Visual Attention[显示、出席和讲述:具有视觉注意力的神经图像标题生成]
Kelvin Xu(蒙特利尔大学) Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the c...
热度:20
Kelvin Xu(蒙特利尔大学) Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the c...
热度:20
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Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation[重组网络:从粗到细的特征聚合学习]
Sina Honari(蒙特利尔大学) Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
热度:15
Sina Honari(蒙特利尔大学) Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
热度:15
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On manifolds and autoencoders[关于歧管和自动编码器]
Pascal Vincent(蒙特利尔大学) On manifolds and autoencoders
热度:20
Pascal Vincent(蒙特利尔大学) On manifolds and autoencoders
热度:20
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Recurrent Neural Networks (RNNs)[递归神经网络(RNN)]
Yoshua Bengio(蒙特利尔大学) Recurrent Neural Networks (RNNs)
热度:24
Yoshua Bengio(蒙特利尔大学) Recurrent Neural Networks (RNNs)
热度:24
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Scaling Up Deep Learning[扩大深度学习]
Yoshua Bengio(蒙特利尔大学) Deep learning has rapidly moved from a marginal approach in the machine learning community less than ten years ago to one that has strong industrial i...
热度:32
Yoshua Bengio(蒙特利尔大学) Deep learning has rapidly moved from a marginal approach in the machine learning community less than ten years ago to one that has strong industrial i...
热度:32
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Recurrent Neural Networks[循环神经网络]
Yoshua Bengio(蒙特利尔大学) This lecture will cover recurrent neural networks, the key ingredient in the deep learning toolbox for handling sequential computation and modelling s...
热度:39
Yoshua Bengio(蒙特利尔大学) This lecture will cover recurrent neural networks, the key ingredient in the deep learning toolbox for handling sequential computation and modelling s...
热度:39
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Deep Learning:Theoretical Motivations[深度学习:理论动机]
Yoshua Bengio(蒙特利尔大学) Deep Learning:Theoretical Motivations
热度:36
Yoshua Bengio(蒙特利尔大学) Deep Learning:Theoretical Motivations
热度:36
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Why Does Unsupervised Pre-training Help Deep Discriminant Learning?[为什么无监督预训练有助于深层判别学习?]
Dumitru Erhan(蒙特利尔大学) Recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with ...
热度:46
Dumitru Erhan(蒙特利尔大学) Recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with ...
热度:46