# lr_analyzer
This is a program designed to test learning rates on Keras/tf.keras neural network models.
1 maintainer
Metadata
1 maintainer
Release files for lr-analyzer 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| lr_analyzer-0.0.1.tar.gz | 1.8 kB | Without provenance | Details for lr_analyzer-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lr_analyzer-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for lr_analyzer-0.0.1-py3-none-any.whl |
Total release size: 4.0 kB
Release files / lr_analyzer-0.0.1.tar.gz
| Download URL | lr_analyzer-0.0.1.tar.gz |
|---|---|
| Size | 1.8 kB |
| Tags | Source |
|
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/3.4.1 importlib_metadata/4.5.0 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.5
|
Release files / lr_analyzer-0.0.1-py3-none-any.whl
| Download URL | lr_analyzer-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3c2b7f8ce379f062d603422159e64adeea998dd04e98bcd81257044eeba564fa
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BLAKE2b-256 checksum How to use checksums |
8a0dad290422b4fa9b9f2f565369746557c121399585e32c6d78e50ca4249f12
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.5
|
Security for lr-analyzer 0.0.1
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