Little NN - a tiny deep learning framework

Little NN is my fun project to actually understand the concepts of deep learning deeply (pun intended).

Local install:

pip3 install -e .

Release files for littlenn 0.0.3

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

Source distribution for littlenn 0.0.3
File	Size	Uploaded
littlenn-0.0.3.tar.gz	8.8 kB	Nov 4, 2021	Details

Table of built distributions (wheels) for littlenn 0.0.3
File	Interpreter	ABI	Platform	Reset
littlenn-0.0.3-py3-none-any.whl 18.1 kB Nov 4, 2021	Python 3	none	any	Details

Total release size: 27.0 kB

Download URL	littlenn-0.0.3.tar.gz
Size	8.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`fcc0f0d35148c01d8905f81ae075f285a60efec3a177c862e1db819613222d18`
BLAKE2b-256 checksum How to use checksums	`2f4934aa34f570d1437f7e19887b87c73ce9d11d29189a88e7058eec99949952`
Upload date	Nov 4, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.9`

Download URL	littlenn-0.0.3-py3-none-any.whl
Size	18.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3c2ecd6e8c7586f50f10cab84e8ba65b217c3e6831b57eedf3d0dd9907f10bd0`
BLAKE2b-256 checksum How to use checksums	`1917144b80fc9fd54933185949429c4830856d6f00fb1b33700a8081c2035571`
Upload date	Nov 4, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.9`