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# Get Started
If you are new to machine learning, we recommend taking the following online
course prior to diving into TensorFlow documentation:
* [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/),
which introduces machine learning concepts and encourages experimentation
with existing TensorFlow code.
TensorFlow is a tool for machine learning. While it contains a wide range of
functionality, TensorFlow is mainly designed for deep neural network models.
The easiest way to get started with TensorFlow is by using Eager Execution.
* @{$get_started/eager}, is for anyone new to machine learning or TensorFlow.
TensorFlow provides many APIs. The remainder of this section focuses on the
Estimator API which provide scalable, high-performance models. See the
@{$estimators} guide.
For more advanced users:
* The @{$low_level_intro$Low Level Introduction} demonstrates how to use
TensorFlow outside of the Estimator framework, for debugging and
experimentation.
* The @{$programmers_guide$Programmer's Guide} details major
TensorFlow components.
* The @{$tutorials$Tutorials} provide walkthroughs of a variety of
TensorFlow models.
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