print(intermediate_outputs['layer4'].shape)
```
We would like to thank Alexander Soare for developing this utility.
(Stable) New Data Augmentations
Two new Automatic Augmentation techniques were added: RandAugment and Trivial Augment. They apply a series of transformations on the original data to enhance them and to boost the performance of the models. The new techniques build on top of the previously added AutoAugment  and focus on simplifying the approach, reducing the search space for the optimal policy and improving the performance gain in terms of accuracy. These techniques enable users to reproduce recipes to achieve state-of-the-art performance on the offered models. Additionally, it enables users to apply these techniques in order to do transfer learning and achieve optimal accuracy on new datasets.