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The first part of this post is about the theory behind Neural Turing Machines. The second is about the library itself, and benchmarks on tasks from Google DeepMind’s original paper. Recurrent Neural Networks (RNNs) have become a major player in sequence modeling over the past few years. Due to their efficiency and flexibility, it is tempting to think that they will constitute the future of sequenc
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