TensorFlow.js Training Losses Complete Reference
TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks.
TensorFlow.js Training Losses Functions:
- TensorFlow.js tf.losses.absoluteDifference() Function
- TensorFlow.js tf.losses.computeWeightedLoss() Function
- TensorFlow.js tf.losses.cosineDistance() Function
- TensorFlow.js tf.losses.hingeLoss() Function
- TensorFlow.js tf.losses.huberLoss() Function
- TensorFlow.js tf.losses.logLoss() Function
- TensorFlow.js tf.losses.meanSquaredError() Function
- TensorFlow.js tf.losses.sigmoidCrossEntropy() Function
- TensorFlow.js tf.losses.softmaxCrossEntropy() Function
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