In this chapter, we did a tour of some of the high-level libraries that are built on top of TensorFlow. We learned about TF Estimator, TF Slim, TFLearn, PrettyTensor, and Sonnet. We implemented the MNIST classification example for all five of them. If you could not understand the details of the models, do not worry, because the models built for MNIST example will be presented again in the following chapters.
We summarize the libraries and frameworks presented in this chapter in the following table:
| High-Level Library | Documentation Link | Source Code Link | pip3 install package |
| TF Estimator | https://www.tensorflow.org/get_started/estimator | https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/estimator | preinstalled with TensorFlow |
| TF Slim | https://github.com/tensorflow/tensorflow/tree/r1.4/tensorflow/contrib/slim | https://github.com/tensorflow/tensorflow... |
