Basic : Dense Layer

Neuron Vector and Layer

Layer is the vector of Neurons, which are kinds of Parametric Function and generally have their own weight and their own bias for Featuring(Filtering).

Filterbank is a bundle of filters such as music equalizer. Because each filter of the bank is not affected by the input, the

Deep learning is based on the cascadee-structured filterbank

How a deep learning architecture works is making a filterbank with bundles of correlated neurons in the cascaded structure.

Dense Layer

The classification of the layer type depends on how the elements of the input are picked for passing through the layers.

In Dense layer, all the elements of the input is connected to the each neuron of the layers.

Network composes of Edge and Node.

Layer : $L^{[i]}$ ($L$ for layer)
Neuron Vector : $\overrightarrow{\nu}^{[i]}$
# of Neurons : $l_i$ ($l$ for length)