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About Deep Forest: Zhi-Hua Zhou, Ji Feng
This document proposes an approach called gcForest for building deep forest models based on non-differentiable modules. The gcForest approach generates a deep forest model that exhibits three key characteristics of deep neural networks: layer-by-layer processing, in-model feature transformation, and sufficient model complexity. Experiments show gcForest has robust performance across different datasets using default hyperparameters and opens the door to deep learning without relying on backpropagation.
Detailed Information
| Author: | ['rana'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 34 |
| Language: | English |
| Format: | |
| Price: | FREE |
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