Trax helps you understand deep learning. We start with basic maths and go through layers, models, supervised and reinforcement learning. We get to advanced deep learning results, including recent papers and state-of-the-art models.
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2 maintainers
Release files for trax 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| trax-1.1.2.tar.gz | 196.2 kB | Without provenance | Details for trax-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| trax-1.1.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for trax-1.1.2-py2.py3-none-any.whl |
Total release size: 479.9 kB
Release files / trax-1.1.2.tar.gz
| Download URL | trax-1.1.2.tar.gz |
|---|---|
| Size | 196.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e447f936e23c854fff33dae2f6bddb32c8984d928618842e78bb64ab39f6e9f1
|
|
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/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/2.7.17rc1
|
Release files / trax-1.1.2-py2.py3-none-any.whl
| Download URL | trax-1.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 283.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
75c8422f30083582ca036aa5d2b2e0fa99e3340579b93efbccc78fe692364709
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|
BLAKE2b-256 checksum How to use checksums |
4f39d37528e542f0cbea903646fa9a5414c0669045ba56564ca6c63693ad789d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/2.7.17rc1
|
Security for trax 1.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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