Neural Network Layer


### Do not count input layer as perceptron (no weights & bias)
$$ learnable\;parameters = weights(edges) + perceptron(bias)$$
### Neural Network Layer Notion
|Title|
|:-:|
|[Layer Normalization](https://texonom.com/layer-normalization-c5111411c0594c04847b0eb4d8fa6682)|
|[Batch Normalization](https://texonom.com/batch-normalization-0e5e919e98b74b168a248a9fd3e0cb63)|
|[Fully Connected Layer](https://texonom.com/fully-connected-layer-3fd5a241e2b84a53a2339c60fbcd957a)|
|[Input Layer](https://texonom.com/input-layer-abdd1cda0d124843a34c66dc5ec7eba1)|
|[Hidden Layer](https://texonom.com/hidden-layer-a22cafa21026469094d260b473fd4789)|
|[Output Layer](https://texonom.com/output-layer-184eb47c3a98437daceba11104377194)|
|[Residual Connection](https://texonom.com/residual-connection-f6778b3cfbee4b0cab02f7fad533372f)|









