Welcome to the TensorFlow Absolute Tutorial

TensorFlow is an open-source machine learning library developed by Google. It allows developers to build and deploy machine learning models easily. In this tutorial, we will cover the basics of TensorFlow and show you how to get started with coding in TensorFlow.

What is TensorFlow?

TensorFlow is an end-to-end open-source platform for machine learning. It offers a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in machine learning and developers easily build and deploy ML-powered applications.

Getting Started with TensorFlow

To get started with TensorFlow, you will need to install the TensorFlow library. You can do this using pip:


pip install tensorflow


Once you have TensorFlow installed, you can start coding in TensorFlow. Here is an example of a simple TensorFlow program that creates a constant tensor and prints its value:


import tensorflow as tf

# Create a constant tensor
tensor = tf.constant(42)

# Print the value of the tensor
print(tensor)


Further Resources

For more information and tutorials on TensorFlow, you can visit the official TensorFlow website at https://www.tensorflow.org/. There you will find a wealth of resources, including documentation, tutorials, and code samples to help you learn and use TensorFlow effectively.

Thank you for reading our TensorFlow Absolute Tutorial. We hope you found it helpful in getting started with TensorFlow. Happy coding!