Update text_classification.ipynb

updated 'preprocessing.TextVectorization' with 'tf.keras.layers.TextVectorization' in Prepare the dataset for training section.

Author: RenuPatelGoogle

site/en/tutorials/keras/text_classification.ipynb

@@ -395,7 +395,7 @@
       "source": [
         "### Prepare the dataset for training\n",
         "\n",
-        "Next, you will standardize, tokenize, and vectorize the data using the helpful `preprocessing.TextVectorization` layer. \n",
+        "Next, you will standardize, tokenize, and vectorize the data using the helpful `tf.keras.layers.TextVectorization` layer. \n",
         "\n",
         "Standardization refers to preprocessing the text, typically to remove punctuation or HTML elements to simplify the dataset. Tokenization refers to splitting strings into tokens (for example, splitting a sentence into individual words, by splitting on whitespace). Vectorization refers to converting tokens into numbers so they can be fed into a neural network. All of these tasks can be accomplished with this layer.\n",
         "\n",