In W2 NLP with Attention Models - UNQ_C9, in the instruction:
Output = model((padded_with_batch, padded_with_batch))
What is the format of the output of the model? Is it a tuple, an array, or a single item?
I’m having problems with the next_symbol and greedy_decode functions.
When testing out:
Test it out on a sentence!
test_sentence = “It was a sunny day when I went to the market to buy some flowers. But I only found roses, not tulips.”
print(wrapper.fill(test_sentence), ‘\n’)
print(greedy_decode(test_sentence, model))
I’m getting:
It was a sunny day when I went to the market to buy some flowers. But
I only found roses, not tulips.
Cur
Cur .
Cur . . .
Cur . . . .
Cur . . . . . .
Cur . . . . . . .
Cur . . . . . . . . .
Cur . . . . . . . . . .
Cur . . . . . . . . . . . .
Cur . . . . . . . . . . . . .
Cur . . . . . . . . . . . . . . .
Cur . . . . . . . . . . . . . . . .