Meta learning describes the concept of 'learning to learn'. What if we could have AI learn how to optimize itself? An AI could learn the optimal hyper-parameters, architecture, and even dataset! Its a really interesting topic, and in this video I'll describe some meta learning techniques and focus on one in particular; deep neuro-evolution. We'll build an image classifier using a deep neuro-evolutionary algorithm. Enjoy!
Code for this video:
https://github.com/harvitronix/neural-network-genetic-algorithm
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More learning resources:
http://nn.cs.utexas.edu/?neuroevolution-tutorial-ijcnn2013
https://blog.coast.ai/lets-evolve-a-neural-network-with-a-genetic-algorithm-code-included-8809bece164
https://towardsdatascience.com/paper-repro-deep-neuroevolution-756871e00a66
https://www.youtube.com/watch?v=lu5ul7z4icQ
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