TensorFlow.js Data Classes Complete References

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

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