This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
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- Made training samples analogous to the number of batches for training so that custom loss function issue doesn't come up during last training batch.
1ba9bf1View on GitHubMerge branch 'master' of https://github.com/jcbooth2/autoencoder_for_physical_lar
1b29e89View on GitHub