I have a model where I’m doing different preprocessing, outside the model itself. One part of the preprocessing is using a category encoder based on keras with: I apply this than with to my pandas dataframe. Now I want to store my model and in order to store the model I also have to store the 2 preprocessing layers cat_index
Tag: keras-layer
Concatenate three inputs of different dimensions in Keras
I have two inputs of same size and then applied word embeddings of vector size 128 and then reshape it giving both inputs shape of (none,1,128), another input which is context has dimension (none,1,18), I want to concatenate these three inputs and then feed the combined output to an LSTM layer. But I am unable to concatenate the inputs as