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memory_enhanced_convolution [2016/07/15 13:22] (current)
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 +**Name** Memory Enhanced Convolution aka  Convolutional Residual Memory Networks
  
 +**Intent**
 +
 +
 +**Motivation**
 +
 +
 +**Sketch**
 +
 +<​Diagram>​
 +
 +**Discussion**
 +
 +
 +
 +**Known Uses**
 +
 +**Related Patterns**
 +
 +<​Diagram>​
 +
 +**References**
 +
 +http://​arxiv.org/​pdf/​1606.05262v3.pdf Convolutional Residual Memory Networks
 +
 +Recent evidence also indicates that convolutional networks could benefit from an interface to explicitly constructed memory mechanisms
 +interacting with a CNN feature processing hierarchy. Correspondingly,​
 +we propose and evaluate a memory mechanism enhanced convolutional neural
 +network architecture based on augmenting convolutional residual networks with a
 +long short term memory mechanism. ​
 +
 +This is achieved using networks with more breadth, much less depth and much less overall
 +computation relative to comparable deep ResNets without the memory mechanism.
 +Our experiments and analysis explore the importance of the memory mechanism,
 +network depth, breadth, and predictive performance.