What are tensors in TensorFlow.js?
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What are tensors in TensorFlow.js?
Tensors are multi-dimensional arrays used in TensorFlow.js to represent data. They are the fundamental building blocks for building machine learning models.
How do I create a tensor in TensorFlow.js?
You can create a tensor using the tf.tensor() function. For example, tf.tensor([1, 2, 3]) creates a 1D tensor.
What types of tensors are there?
There are several types of tensors, including scalars (0D), vectors (1D), matrices (2D), and higher-dimensional tensors.
Can you explain the shape of a tensor?
The shape of a tensor is a tuple that describes the size of each dimension. For example, a shape of [2, 3] represents a 2D tensor with 2 rows and 3 columns.
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