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HowToSD-ComfyUI-Data-Analysis/docs/reference/ptn_linear_model.md
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# Ptn Linear Model
A linear model consisting of dense layers.
### Fields:
- `dim_list`: A comma-separated string representing layer dimensions.
It should contain the input dimension for the first layer and the output dimensions
for all layers.
Example for a two-layer network:
- Input data: 784
- Layer 1: 784 → 128
- Layer 2: 128 → 10
- Specify `"784, 128, 10"`
- `bias_list`: A comma-separated string representing bias usage (True/False) per layer.
- `num_layers`: The number of layers in the model.
## Input
| Name | Data type |
|---|---|
| dim_list | String |
| bias_list | String |
| num_layers | Int |
## Output
| Data type |
|---|
| Ptmodel |
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Category: PyTorch wrapper - Training
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