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About Deep Learning
Deep learning has current limitations in achieving human-level artificial intelligence. It relies on pattern recognition through mapping inputs to outputs based on large datasets without strong abstraction abilities. To achieve extreme generalization on new complex tasks, future AI will need richer models that blend deep learning with symbolic reasoning, stronger metrics to measure generalization beyond training data, and stronger priors through lifelong multi-task learning of reusable modules across domains. This will move AI development towards resembling how humans write computer programs and scientific discovery.
Detailed Information
| Author: | ['Richie Wibisono'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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