TensorFlow is the platform enabling building deep Neural Network architectures and performing Deep Learning. Natural Language Processing is the class of problems of using and processing text, This tutorial introduces the basics needed to perform text classification by performing Sentiment Analysis.
In this scenario, you will learn how to use TensorFlow for text classification. The content is based on the official Text classification tutorial.
To take the most of this course, you should know how to program in Python or other languages that would allow you to understand Python syntax. KNowledge on TensorFlow is also valuable.
To start working with Python shell run the following command:
You can use
quit() to leave it.
To start working you should first import few packages to give Python access to all its assets:
import tensorflow as tf
import numpy as np
import pandas as pd
import tensorflow_hub as tf_hub
Some of the helper functions has been defined in the
help package. The package contains mostly functions to load the data.