- Implement CNN in TensorFlow
- Understand of CNN (Mathematical details)
- Identify adjustable parameters
- Feature maps, weighting
- Pick / Survey 1 to 2 interesting Problem
- Accuracy around 80%
- Implement evolution of parameters
- Differential evolution
- (Optional) Implement evolution of strategies
- Speed up / predict the performance of DNN without evaluation
- Evaluate the final DNN and short report