evolutionary_neural_network-STOP

Current Situation

Basically, we'll use MNIST as our test bench now.

The preliminary goal we want to achieve is evolving an neural network that can rival the model in my NN_example repository, i.e. approximately 99.6 test accuracy in MNIST data set.

In the future, we will also adapt it into more data set, namely CIFAR-10, CIFAR-100 and ImageNet.

References

• Large-Scale Evolution of Image Classifiers
• Regularized Evolution for Image Classifier Architecture Search
• Learning Transferable Architectures for Scalable Image Recognition