TF Slim is a lightweight library built on top of TensorFlow core for defining and training models. TF Slim can be used in conjunction with other TensorFlow low level and high-level libraries such as TF Learn. The TF Slim comes as part of the TensorFlow installation in the package: tf.contrib.slim. Run the following command to check if your TF Slim installation is working:
python3 -c 'import tensorflow.contrib.slim as slim; eval = slim.evaluation.evaluate_once'
TF Slim provides several modules that can be picked and applied independently and mixed with other TensorFlow packages. For example, at the time of writing of this book TF Slim had following major modules:
| TF Slim module | Module description |
| arg_scope | Provides a mechanism to apply elements to all graph nodes defined under a scope. |
| layers | Provides several different kinds of layers such as fully_connected... |
