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A TensorFlow implementation of the Differentiable Neural Computer
...This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking.
This package is designed for people who are a) interested in writing emulators or b) integrating this level of detain into their applications (e.g., a video game). The ability to do this is useful because a) it allows for tinkering far before physical implementation of the design is.
In addition to a strong core, WFCPK will also include modules emulating various processors (e.g., the MOS 6502 and the Zilog Z80) as well as the Video-Audio Interface (a custom VGA-compatible display and...