What are some real-world applications of tensors?
Tensors are used in various fields like physics, engineering, and machine learning. For example, in physics, they describe stress and strain in materials.
Can you explain how tensors are used in machine learning?
In machine learning, tensors are used to represent data. For instance, images can be represented as 3D tensors with width, height, and color channels.
What about their role in deep learning?
In deep learning, tensors are fundamental as they are the primary data structure for neural networks, enabling efficient computation.
Are there any specific libraries for working with tensors?
Yes, popular libraries include TensorFlow and PyTorch, which provide tools for creating and manipulating tensors easily.
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