TextVectorization layer - Keras
keras.io › api › layersText vectorization layer. This layer has basic options for managing text in a Keras model. It transforms a batch of strings (one sample = one string) into either a list of token indices (one sample = 1D tensor of integer token indices) or a dense representation (one sample = 1D tensor of float values representing data about the sample's tokens).
AttributeError: 'numpy.int64' object has no attribute 'lower ...
github.com › numpy › numpyAug 02, 2018 · import json import keras import keras. preprocessing. text as kpt from keras. preprocessing. text import Tokenizer import numpy as np # extract data from a csv # notice the cool options to skip lines at the beginning # and to only take data from certain columns training = np. genfromtxt ('train_tweet_data.csv', delimiter = ',', skip_header = 1 ...