TensorFlow 文本识别

import pandas as pd
import numpy as np
import tensorflow as tf
from collections import Counter
from sklearn.datasets import fetch_20newsgroups

How TensorFlow works

import tensorflow as tf
my_graph = tf.Graph()
with tf.Session(graph=my_graph) as sess:
    x = tf.constant([1,3,6]) 
    y = tf.constant([1,1,1])
    op = tf.add(x,y)
    result = sess.run(fetches=op)
    print(result)

[2 4 7]

How to manipulate data and pass it to the Neural Network inputs

vocab = Counter()

text = "Hi from Brazil"

for word in text.split(' '):
    word_lowercase = word.lower()
    vocab[word_lowercase]+=1
        
def get_word_2_index(vocab):
    word2index = {}
    for i,word in enumerate(vocab):
        word2index[word] = i
        
    return word2index

word2index = get_word_2_index(vocab)

total_words = len(vocab)
matrix = np.zeros((total_words),dtype=float)

for word in text.split():
    matrix[word2index[word.lower()]] += 1
    
print("Hi from Brazil:", matrix)

Hi from Brazil: [ 1.  1.  1.]

matrix = n