Neural Network Projection Layer
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A Neural Network Projection Layer is a neural network layer that ..
- Context:
- It can be a Linear Projection Layer.
- Example(s):
- …
- Counter-Example(s):
- See: Artificial Neural Network.
References
2013
- (Mikolov et al., 2013a) ⇒ Tomáš Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. (2013). “Efficient Estimation of Word Representations in Vector Space.” In: Proceedings of International Conference of Learning Representations Workshop.
- QUOTE: … architecture for estimating neural network language model (NNLM) was proposed in [1], where a feedforward neural network with a linear projection layer and a non-linear hidden layer was used to learn jointly the word vector representation and a statistical language model. …
2001
- Feraund, R., Olivier J. Bernier, J-E. Viallet, and Michel Collobert. (2001). “A Fast and Accurate Face Detector based on Neural Networks.” In: Pattern Analysis and Machine Intelligence, IEEE Transactions on 23, no. 1.
- QUOTE: … It depends of a fixed number weights, corresponding to the architecture of the neural network. … However, as we want to obtain a nonlinear dimension reduction and a nonlinear relation between the submanifold (the compression layer) and the projection layer (the output layer ...