The library features the “Neural” model, which is a Convolutional Neural Network (CNN) for image classification. It supports both CPU and GPU, providing excellent performance for large networks. You can also export and import Deep models and continue training on other machines. The exported file is generated in the “.brain” format, which is a proprietary data type of this project. For more information, please visit our repository.
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Release files for Kinho 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kinho-1.3.1.tar.gz | 21.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kinho-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 70.6 kB
Release files / kinho-1.3.1.tar.gz
| Download URL | kinho-1.3.1.tar.gz |
|---|---|
| Size | 21.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / kinho-1.3.1-py3-none-any.whl
| Download URL | kinho-1.3.1-py3-none-any.whl |
|---|---|
| Size | 48.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
