fseai

Library for Deep Learning & Machine Learning, providing functions for various use cases like loading datasets, data visualization, data representation, training models, optimization and testing models.

Metadata

Release files for fseai 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fseai 0.0.2
File	Size	Uploaded
fseai-0.0.2.tar.gz	4.3 kB	Oct 28, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for fseai 0.0.2
File	Interpreter	ABI	Platform	Reset
fseai-0.0.2-py3-none-any.whl 8.8 kB Oct 28, 2020	Python 3	none	any	Details

Total release size: 13.1 kB

Release files / fseai-0.0.2.tar.gz

Download URL	fseai-0.0.2.tar.gz
Size	4.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`40a810b0b5588ec1ac0f65320d33f99a6106c62c4569f86d0cd6395d7d583821`
BLAKE2b-256 checksum How to use checksums	`ef66d4ea79b64683b6f4fc68bdfe26a4307b5e636e5e06528f522e28b9f8576d`
Upload date	Oct 28, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6`

Release files / fseai-0.0.2-py3-none-any.whl

Download URL	fseai-0.0.2-py3-none-any.whl
Size	8.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`86dfaf21eb916b4eb5018e921aef49e4275fd04f08930a455d7e6a90d7ad8fdf`
BLAKE2b-256 checksum How to use checksums	`98a53a6fd40273c803dad8767643ee53338a2f9a90cf86a8c482dd687825e41f`
Upload date	Oct 28, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.6`