![]() ![]() **kwargs: When using the Theano/CNTK backends, these argumentsĪre passed into K.function.Or a dict mapping output names to target tensors. It can beĪ single tensor (for a single-output model), a list of tensors, Numpy data for these targets at training time), youĬan specify them via the target_tensors argument. Target tensors (in turn, Keras will not expect external ![]() If instead you would like to use your own Model's target, which will be fed with the target data during target_tensors: By default, Keras will create placeholders for the.weighted_metrics: List of metrics to be evaluated and weightedīy sample_weight or class_weight during training and testing.Sample_weight_mode on each output by passing a If the model has multiple outputs, you can use a different None defaults to sample-wise weights (1D). Sample weighting (2D weights), set this to "temporal". sample_weight_mode: If you need to do timestep-wise.Multi-output model, you could also pass a dictionary, To specify different metrics for different outputs of a metrics: List of metrics to be evaluated by the model. ![]() Will then be the sum of all individual losses. The loss value that will be minimized by the model On each output by passing a dictionary or a list of losses. If the model has multiple outputs, you can use a different loss
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