Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Abstract: Image anomaly detection problems aim to determine whether an image is abnormal, and to detect anomalous areas. These methods are actively used in various fields such as manufacturing, ...
DIY DCC decoder for model railroad locomotives in an E24 form factor, powered by an RP2350 (Raspberry Pi Pico 2) - mikesmitty/rp24-dcc-decoder ...
Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...
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