MeanSquaredError

Computes the mean squared error between labels and predictions.

Abstract Signature:

MeanSquaredError(y_true: Tensor, y_pred: Tensor)

PyTorch

API: torch.nn.functional.mse_loss
Strategy: Direct Mapping
Official Docs ↗

JAX (Core)

API: optax.squared_error
Strategy: Direct Mapping
Official Docs ↗

Keras

API: keras.losses.mean_squared_error
Strategy: Direct Mapping
Official Docs ↗

TensorFlow

API: tf.keras.losses.mean_squared_error
Strategy: Direct Mapping
Official Docs ↗

Apple MLX

API: mlx.nn.losses.mse_loss
Strategy: Direct Mapping
Official Docs ↗

Flax NNX

API: optax.squared_error
Strategy: Direct Mapping
Official Docs ↗

PaxML / Praxis

API: optax.squared_error
Strategy: Direct Mapping
Official Docs ↗