<jupyter_start><jupyter_text>Author: <NAME> This is your first tensor flow notebookYou can press shift + enter to quickly advance through each line of a notebook. Try it now!  This snippet of Python prints a value in the variable.<jupyter_code># We are going to us Tensor Flow libraries, so import them
import tensorflow as tf

# create a variable 
greeting = tf.constant('Hello, World!')

# Tensor Flow requires a run time session created for deployment
sess = tf.Session()

# Print the result to check everything is working
print(sess.run(greeting))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06712564543889846, 'fraction_numerical': 0.0, 'mean_word_length': 5.258064516129032, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '441580', 'license': 'MIT', 'n_tokens_mistral': 162, 'n_tokens_neox': 162, 'n_words': 77, 'path': 'Hello World TF.ipynb', 'repo_name': 'scheema/Machine-Learning', 'size': '595'}