I am writing the following code for a deep learning program in python but it is repeatedly giving me errors.
import numpy as np
def vectorize_sequences(sequences,dimension=10000):
results=np.zeros((len(sequences)),dimension)
for i,sequence in enumerate(sequences):
results[i,sequence]=1
return results
error-TypeError: Cannot interpret ‘10000’ as a data type
>Solution :
You need to change the line results=np.zeros((len(sequences)),dimension). Here dimension is being passed as the second argument, which is supposed to be the datatype that the zeros are stored as. Change it to:
results = np.zeros((len(sequences), dimension))