TensorFlow.js Metrics Complete Reference
TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. Metrics functions are used to manipulate the matrices.
TensorFlow.js Metrics functions:
- TensorFlow.js tf.metrics.binaryAccuracy() Function
- TensorFlow.js tf.metrics.binaryCrossentropy() Function
- TensorFlow.js tf.metrics.categoricalAccuracy() Function
- TensorFlow.js tf.metrics.categoricalCrossentropy() Function
- TensorFlow.js tf.metrics.cosineProximity() Function
- TensorFlow.js tf.metrics.meanAbsoluteError() Function
- TensorFlow.js tf.metrics.meanAbsolutePercentageError() Function
- TensorFlow.js tf.metrics.meanSquaredError() Function
- TensorFlow.js tf.metrics.precision() Function
- TensorFlow.js tf.metrics.recall() Function
- TensorFlow.js tf.metrics.sparseCategoricalAccuracy() Function
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