@pipcook/plugins-tensorflow-resnet-model-define NP

@pipcook/plugins-tensorflow-resnet-model-define

Description

This plugin defines a image classification model. This model is resnet. The model is built using python tensorflow.

Required Parameters

Parameter	Type	Description

Optional Parameters

Parameter	Type	Default Value	Description
loss	string	categorical_crossentropy	the loss function to be defined. Look more
metrics	string[]	'accuracy'	metrics used to evaluate model. Look more
learningRate	number	0.001	base learning rate for Adam
decay	number	0.05	decay rate for Adam
freeze	boolean	false	Whether to freeze first several layers
labelMap	object	null	label map, only specified when recoverPath is provided
recoverPath	string	null	Recover path of pretrained model

Example

"modelDefine": {
  "package": "@pipcook/plugins-tensorflow-resnet-model-define",
  "params": {
    "freeze": true
  }
},

@pipcook/boa @pipcook/pipcook-core fs-extra

@infinitebrahmanuniverse/nolb-_pip @everything-registry/sub-chunk-720

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