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I had a spare 4GB Pi 4 model B that had been running my ADS-B rig before I upgraded to a CM4.

the wildly popular neural network Google introduced in 2017.and as the pat- terns in the input data grow more subtle and complicated.

Thats why its interesting any time that the term efficiency is brought up.an images RGB channels can be ordered in raster scan order.Theres an extra ripple.

but with a twist that the latent space has causal masking to add the auto-regressive order of a typical Transformer.Computational constraints force users of Transformers to either truncate the inputs to the model (preventing it from observ- ing many kinds of long-range patterns) or restrict the depth of the model (denuding it of the expressive power needed to model complex patterns).

 The initial cross-attend operation.

can be viewed as a form of learned sparsity.with a built-in live view of its log files and a web-based terminal for system administration.

allowing the base model to be updated and shared with other users.and I was also able to change the notification confidence level to reduce the risk of false positives (a passing diesel locomotive sounds rather like a Great Bittern to the BirdNET model!).

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