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# Flatten Layer 2D

The

`Flatten Layer 2D`

node in AugeLab Studio is used to add a flatten layer to a 2D convolutional neural network (CNN). The flatten layer converts the input into a 1-dimensional vector, which is useful for connecting convolutional layers to fully connected layers.The

`Flatten Layer 2D`

node adds a flatten layer to the network. It has the following properties:- Node Title: Flatten Layer 2D
- Node ID: OP_NODE_AI_2D_FLATTEN

The

`Flatten Layer 2D`

node does not have any input sockets.The

`Flatten Layer 2D`

node does not have any output sockets. It is a middle layer that modifies the network architecture.The

`Flatten Layer 2D`

node does not have any configurable properties.- 1.Drag and drop the
`Flatten Layer 2D`

node from the node library onto the canvas in AugeLab Studio. - 2.Connect the
`Flatten Layer 2D`

node to other nodes in the network to modify the network architecture.

The

`Flatten Layer 2D`

node is implemented using the `Flatten`

layer from the Keras library. The node's `getKerasLayer`

method returns a Keras flatten layer.The flatten layer converts the input tensor into a 1-dimensional vector. It reshapes the input tensor from a multi-dimensional shape (e.g., a 2D feature map) into a single long vector. This is useful for connecting convolutional layers to fully connected layers, as most fully connected layers expect a 1-dimensional input.

The

`Flatten Layer 2D`

node does not have any parameters or configurable options. It simply applies the flatten operation to the input tensor.- 1.Drag and drop the
`Flatten Layer 2D`

node from the node library onto the canvas in AugeLab Studio. - 2.Connect the
`Flatten Layer 2D`

node to other nodes in the network to modify the network architecture. - 3.Ensure that the
`Flatten Layer 2D`

node is connected after the convolutional layers and before the fully connected layers in the network. - 4.Train the network using the modified architecture to observe the effects of the flatten layer on model performance.

- The
`Flatten Layer 2D`

node adds a flatten layer to a 2D CNN, which converts the input tensor into a 1-dimensional vector. - The flatten layer is typically used to connect convolutional layers to fully connected layers.
- The
`Flatten Layer 2D`

node does not have any input or output sockets. It is a middle layer that modifies the network architecture. - Ensure that the
`Flatten Layer 2D`

node is connected to other nodes in the network to have an impact on the model's behavior. - The
`Flatten Layer 2D`

node requires the Keras library to be installed.