universal-sentence-encoder-classfier

gistfile1.txt

!pip3 install --quiet "tensorflow>=1.7"
!pip3 install --quiet tensorflow-hub
!pip3 install seaborn

import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import re
import seaborn as sns
import keras.layers as layers
from keras.models import Model
from keras import backend as K
np.random.seed(10)



import matplotlib.pyplot as plt
plt.style.use('ggplot')

gistfile2.txt

module_url = "https://tfhub.dev/google/universal-sentence-encoder-large/3"
embed = hub.Module(module_url)
embed_size = embed.get_output_info_dict()['default'].get_shape()[1].value