ConceptMLP / Multi-Layer Perceptron
Multilayer Perceptron
The multilayer perceptron is a classic feedforward neural network architecture consisting of an input layer, one or more hidden layers and an output layer, with layers connected by fully connected weights and nonlinear activation functions used to achieve complex function approximation.
Timeline (last 90 days)
Oct 16
The projection layer aligns visual feature vectors to the language model's token embedding space through a trainable multilayer perceptron or linear mapping.
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