keras Merge

Keras Merge is a layer in Keras that allows us to merge multiple inputs into a single output. It can be used to combine different types of inputs, such as images, text, and numerical data, into a single model.

There are different types of merge layers available in Keras, such as Concatenate, Add, Multiply, Dot, etc. The type of merge layer to be used depends on the nature of the inputs and the desired output.

The syntax for using the merge layer in Keras is as follows:

from keras.layers import Merge

merged_layer = Merge([input1, input2], mode='concat')

Here, `input1` and `input2` are the inputs to be merged, and `mode` specifies the type of merge operation to be performed. In this example, we are using the `concat` mode, which concatenates the inputs along a specified axis.

Once the merge layer is defined, it can be added to the model using the `add` method:

from keras.models import Sequential

model = Sequential()
model.add(merged_layer)

The merge layer can then be followed by other layers to build the complete model.