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|
path: "tensorflow.keras"
tf_module {
member {
name: "Model"
mtype: "<type \'type\'>"
}
member {
name: "Sequential"
mtype: "<type \'type\'>"
}
member {
name: "activations"
mtype: "<type \'module\'>"
}
member {
name: "applications"
mtype: "<type \'module\'>"
}
member {
name: "backend"
mtype: "<type \'module\'>"
}
member {
name: "callbacks"
mtype: "<type \'module\'>"
}
member {
name: "constraints"
mtype: "<type \'module\'>"
}
member {
name: "datasets"
mtype: "<type \'module\'>"
}
member {
name: "estimator"
mtype: "<type \'module\'>"
}
member {
name: "initializers"
mtype: "<type \'module\'>"
}
member {
name: "layers"
mtype: "<type \'module\'>"
}
member {
name: "losses"
mtype: "<type \'module\'>"
}
member {
name: "metrics"
mtype: "<type \'module\'>"
}
member {
name: "models"
mtype: "<type \'module\'>"
}
member {
name: "optimizers"
mtype: "<type \'module\'>"
}
member {
name: "preprocessing"
mtype: "<type \'module\'>"
}
member {
name: "regularizers"
mtype: "<type \'module\'>"
}
member {
name: "utils"
mtype: "<type \'module\'>"
}
member {
name: "wrappers"
mtype: "<type \'module\'>"
}
member_method {
name: "Input"
argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], "
}
}
|
