TensorFlow.js Training Losses Complete Reference Improve Improve Like Article Like Save Share Report 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 Last Updated : 26 Apr, 2022 Like Article Save Article Previous Tensorflow.js tf.losses.cosineDistance() Function Next Tensorflow.js tf.train.Optimizer Class Share your thoughts in the comments Add Your Comment Please Login to comment...