2
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How to visually or intuitively understand single element multi-dimensional tensors?
How should I interpret or visualize this fact intuitively?
You could visualize it as a point in a geometrical space:
8 is just a number
...
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Accepted
Is there any advantage to providing multi-dimensional input to torch modules?
Yes, for some applications, the spatial component of the tensor is indeed very important, but not for the examples you mentioned. The first point to clarify is that even though the ...
- 660
2
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Accepted
Can I do state space quantization using a KMeans-like algorithm instead of range buckets?
There is this paper Representation and Reinforcement Learning for
Personalized Glycemic Control in Septic Patients, presented in the Machine Learning for Health Workshop in NIPS 2017. Here is a quote ...
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vote
Accepted
What is the channel dimension other than color representation in Conv2D? Shall I use Conv3D instead?
You can do whatever you want, but it won't necessarily achieve a good result. CNNs have the inductive bias that features are spatially correlated. If you simply stack different views and immediately ...
- 85
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How many directions of gradients exist for a function in higher dimensional space?
Let's look at the definition of gradient:
In vector calculus, the gradient of a scalar-valued differentiable function $f$ of several variables is the vector field (or vector-valued function) $\nabla ...
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How to visually or intuitively understand single element multi-dimensional tensors?
The number is not repeated if it is the only element of some high dimensional space.
An $n$-dimensional (vector) space is a set of objects (known as vectors, although this term is more commonly used ...
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