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: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2022
|
| Subjects: |