Lambda Layer In Keras With Keras.backend.one_hot Gives Typeerror

I'm trying to train a character level CNN using Keras. I take as input a single word. I have already transformed the words into lists of indices, but when I try to feed it into one

Solution 1:

I would suggest a cleaner solution that would achieve the same result, how about:

k_model.add(Embedding(num_classes, num_classes,
                      embeddings_initializer='identity',
                      trainable=False,
                      name='onehot'))

You are essentially embedding things, it would make more sense to use one with fixed weights. It also gives you the flexibility to make the embedding trainable in the future.