1. Object Detection with Bootstrapping
Week 6
Carlos Rubiano
Mentor: Oliver Nina

2. Assisted Meera, Si, and Arjun
Helped with installing Caffe and its dependencies
Debugged errors to setup Caffe
instructed how to train on their own custom datasets

3. Ensemble of Networks Trained more networks to average together
Resulted in increase of accuracy but plateau is quicker than expected
7th/155 on Kaggle

4. Training with filter on Image
Coded with python way to manipulate the pickled image data
Allows us to train with custom filters on cuda
- Sobel
- Grayscale
Frog Automobile

5. Other filters Class: Frog Data augmentation
Also want to try image rotations, image resizing, etc

6. Things to do Implement network in network, state of art (ICLR 2014)
Implement maxout networks
Combine with dropconnect
Explore other custom features