Building and training your first TensorFlow graph from the ground up
Understand TensorFlow by experimenting in Python with core functionality of this flexible, fast, and scalable machine learning library. TensorFlow uses data flow graphs on CPUs and GPUs for deep learning with neural nets and more.
In this tutorial you will:
build a simple TensorFlow graph from the ground up
train models with gradient descent using TensorFlow
use TensorFlow's TensorBoard to visualize your TensorFlow work