A Domain Specific Language for Automated RNN Architecture Search
When humans generate novel neural architectures, they go through a surprisingly large amount of trial and error. This holds true almost regardless of how much experience in deep learning that person might have! In an optimal world, the neural networks themselves would explore potential architectures and improve themselves over time. Without human intuition and insights […]
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