TensorFlow.js Data Classes Complete References Last Updated : 21 Apr, 2022 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. The Tensor Slicing and Joining are used to slice or extract parts of a tensor or join multiple tensors together. TensorFlow.js Data Classes functions: TensorFlow.js tf.data.CSVDataset() Function TensorFlow.js tf.columnNames() Function TensorFlow.js tf.data.Dataset() Function TensorFlow.js tf.data.Dataset class .batch() Method TensorFlow.js tf.concatenate() Function TensorFlow.js tf.data.Dataset .filter() Function TensorFlow.js tf.data.Dataset class .forEachAsync() Function TensorFlow.js tf.data.Dataset class .map() Function TensorFlow.js tf.data.Dataset class .mapAsync() Function TensorFlow.js tf.data.Dataset class .prefetch() Function TensorFlow.js tf.data.Dataset class .repeat() Function TensorFlow.js tf.data.Dataset class .skip() Function TensorFlow.js tf.data.Dataset class .shuffle() Function TensorFlow.js tf.data.Dataset class .take() Function TensorFlow.js tf.data.Dataset class .toArray() Function Like Article Suggest improvement Previous Tensorflow.js tf.data.Dataset class .forEachAsync() Method Next Tensorflow.js tf.util.assert() Function Share your thoughts in the comments Add Your Comment Please Login to comment...