TF-Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.
It was developed with a focus on enabling fast experimentation and providing a delightful developer experience. The purpose of TF-Keras is to give an unfair advantage to any developer looking to ship ML-powered apps.
4 maintainers
Metadata
4 maintainers
Release files for tf-keras 2.19.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tf_keras-2.19.0.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tf_keras-2.19.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.0 MB
Release files / tf_keras-2.19.0.tar.gz
| Download URL | tf_keras-2.19.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / tf_keras-2.19.0-py3-none-any.whl
| Download URL | tf_keras-2.19.0-py3-none-any.whl |
|---|---|
| Size | 1.7 MB |
| 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
