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pemagrg1/one hot encoding using Tensorflow

Created January 10, 2019 10:52
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one hot encoding using Tensorflow
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one hot encoding using Tensorflow
import tensorflow as tf
import pandas as pd
text = 'My cat is a great cat'
tokens = text.lower().split()
vocab = set(tokens)
vocab = pd.Series(range(len(vocab)), index=vocab)
word_ids = vocab.loc[tokens].values
inputs = tf.placeholder(tf.int32, [None])
# TensorFlow has an operation for one-hot encoding
one_hot_inputs = tf.one_hot(inputs, len(vocab))
transformed = tf.Session().run(one_hot_inputs, {inputs: word_ids})
print (transformed)
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