WTT: What the Tensor?
summary
Introduces tensors as a unified way to represent data and the computations in deep learning, explaining what tensors are, why they are useful, and how they relate to neural network operations. Covers practical tensor concepts and uses common deep learning frameworks (e.g., TensorFlow) to illustrate tensor manipulation, storage, and computation concerns for building and running models.
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chapters (4)
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