Learning and memorization via predictive coding
Neural networks trained with backpropagation achieved impressive results in the last decade. However, training such models requires sequential backward updates and non-local computations, making it challenging to parallelize at scale, implement in novel hardware, and is unlike how learning works in...
Main Author: | Salvatori, T |
---|---|
Other Authors: | Lukasiewicz, T |
Format: | Thesis |
Language: | English |
Published: |
2022
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Subjects: |
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