dlpy.model.Model.load_weights_from_keras

Model.load_weights_from_keras(path, labels=False, data_spec=None, label_file_name=None, label_length=None, use_gpu=False, embedding_dim=None)

Load the model weights from a HDF5 file

Parameters:

path : string

Specifies the server-side directory of the HDF5 file that contains the weight table.

labels : bool

Specifies whether to use ImageNet classification labels
Default: False

data_spec : list of DataSpec, optional

data specification for input and output layer(s)
Default: None

label_file_name : string, optional

Fully qualified path to CSV file containing user-defined classification labels. If not specified, ImageNet labels assumed.
Default: None

label_length : int, optional

Length of the classification labels (in characters).
Default: None

use_gpu : boolean, optional

Require GPU for processing model
Default: False

embedding_dim : int, optional

Specifies text embedding dimension. You must specify the data_spec parameter or this parameter is ignored.
Default: None