1.1.0 • Published 4 years ago
@pipcook/plugins-tfjs-simplecnn-model-define v1.1.0
@pipcook/plugins-tfjs-simplecnn-model-define
Description
This plugin defines a image classification model. This model is built on top of several convolutional blocks. This model is fit for quite simple dataset. The model is built using Tensorflow.js.
Required Parameters
| Parameter | Type | Description |
|---|
Optional Parameters
| Parameter | Type | Default Value | Description |
|---|---|---|---|
| loss | string | categoricalCrossentropyloss | the loss function to be defined. Look more |
| metrics | string[] | 'accuracy' | metrics used to evaluate model. Look more |
| recoverPath | string | null | Recover path of pretrained model |
| outputShape | number[] | null | outputshape of model, only specified when recoverPath is specified |
| labelMap | object | null | label map, only specified when recoverPath is specified |
Example
"modelDefine": {
"package": "@pipcook/plugins-tfjs-simplecnn-model-define"
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