Information for RPM python-autograd-1.6.2-6.fc40.src.rpm
| ID | 1217643 | ||||||||||||||
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| Name | python-autograd | ||||||||||||||
| Version | 1.6.2 | ||||||||||||||
| Release | 6.fc40 | ||||||||||||||
| Epoch | |||||||||||||||
| Arch | src | ||||||||||||||
| Summary | Efficiently computes derivatives of numpy code | ||||||||||||||
| Description | Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization. | ||||||||||||||
| Build Time | 2024-01-26 01:31:33 GMT | ||||||||||||||
| Size | 2.47 MB | ||||||||||||||
| c48a8996dff4e8c1faa202bbec4f2f2b | |||||||||||||||
| License | MIT | ||||||||||||||
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| Suggests | No Suggests | ||||||||||||||
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| Enhances | No Enhances | ||||||||||||||
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