Methods
# inner MSE(labels, predictions) → {Tensor}
Computes the mean squared error between two tensors.
Parameters:
| Name | Type | Description |
|---|---|---|
labels |
Tensor
|
The ground truth output tensor, same dimensions as 'predictions'. |
predictions |
Tensor
|
The predicted outputs. |
tf.losses.meanSquaredError(labels,predictions)
Tensor