ComfyUI Node
NNT Define Dense Layer
A ComfyUI node in NNT Neural Network Toolkit/Layers with 17 inputs and 2 outputs.
NNT Define Dense Layer
- LAYER_STACK
- LAYER_STACK
- num_nodes
◄num_nodes64►
◄activation_functionReLU►
◄use_biasTrue►
◄weight_initkaiming_normal►
◄weight_init_gain1.00►
◄weight_init_modefan_in►
◄weight_init_nonlinearityrelu►
◄bias_initzeros►
◄bias_init_value0.00►
◄normalizationNone►
◄norm_eps0.0000►
◄norm_momentum0.100►
◄norm_affineTrue►
◄dropout_rate0.0►
◄alpha0.01►
◄num_copies1►
CategoryNNT Neural Network Toolkit/Layers
Inputs (17)
| Name | Type | Default | Description |
|---|---|---|---|
| num_nodes | INT | 641–8192 | — |
| activation_function | COMBO | ReLU | 28 options: None, ELU, GELU, GLU, Hardshrink, Hardsigmoid, +22 |
| use_bias | COMBO | True | 2 options: True, False |
| weight_init | COMBO | kaiming_normal | 12 options: default, normal, uniform, xavier_normal, xavier_uniform, kaiming_normal, +6 |
| weight_init_gain | FLOAT | 1.000.01–10 | — |
| weight_init_mode | COMBO | fan_in | 2 options: fan_in, fan_out |
| weight_init_nonlinearity | COMBO | relu | 6 options: relu, leaky_relu, selu, tanh, linear, sigmoid |
| bias_init | COMBO | zeros | 5 options: default, zeros, ones, normal, uniform |
| bias_init_value | FLOAT | 0.00-1–1 | — |
| normalization | COMBO | None | 6 options: None, BatchNorm, LayerNorm, InstanceNorm, GroupNorm, LocalResponseNorm |
| norm_eps | FLOAT | 0.00001e-12–0.001 | — |
| norm_momentum | FLOAT | 0.1000.001–0.999 | — |
| norm_affine | COMBO | True | 2 options: True, False |
| dropout_rate | FLOAT | 0.00–0.9 | — |
| alpha | FLOAT | 0.010–1 | — |
| num_copies | INT | 11–100 | — |
| LAYER_STACKopt | LIST | — |
Outputs (2)
| Name | Type | Description |
|---|---|---|
| LAYER_STACK | LIST | — |
| num_nodes | INT | — |