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Hi, when I use autograd, it is possible to see its gradient function? Or in other words, it is possible to see **derivative** of that function? Or is it possible to see **computational graph**?
Fo…
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Any chance you will be adding some kotlin convenience code?
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*Original issue*: https://gitlab.com/lfortran/lfortran/-/issues/450
In this mode, LFortran would provide warnings (or even errors) for code that is valid, but we determined as a community that we w…
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An interesting use of *backpipe* is when it is used to clear some clutter. Two uses come to mind.
- Defining S4 Methods : reduces clutter associated with bracketings
- Using logging : Put the logg…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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The current icon is in-style, but a bit low on details, and not as geometric as it could be. Here's a quick attempt to make it a little bit more unique and interesting:
` as `x` asymptotically approaches a given constant, `c`, is an interesting mathematical tool, important for defining various calculus related concepts. Having limits …