These are plots of validation error, training error, and training loss on ImageNet measured after every epoch. 

- [Validation Error](#validation-error)
- [Training Error](#training-error)
- [Training Loss](#training-loss)

## Validation Error
<img width="842" alt="validation error" src="https://cloud.githubusercontent.com/assets/655866/13538067/6785a948-e216-11e5-8f76-b74e74397fd7.png">

## Training Error
<img width="828" alt="train error" src="https://cloud.githubusercontent.com/assets/655866/13538065/6775ec38-e216-11e5-831d-26e5660367a5.png">

## Training Loss
<img width="836" alt="train loss" src="https://cloud.githubusercontent.com/assets/655866/13538066/678459b2-e216-11e5-8b13-88c24d73ab5d.png">
