An easy way to show how a simple deep neural net outperforms a logistic regression classifier.
Project description
Deep Neural Net vs. Logistic Regression
This is a simple way to illustrate how a simple DNN can beat the performance of logistic regression in classification.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
easy_dnn-0.0.1.tar.gz
(3.8 kB
view details)
Built Distribution
File details
Details for the file easy_dnn-0.0.1.tar.gz
.
File metadata
- Download URL: easy_dnn-0.0.1.tar.gz
- Upload date:
- Size: 3.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | be751335222b2767266176b8f2825aa2619601365c5739dd5a2980bda1d16e16 |
|
MD5 | 2509e4138d7b65bd2b19a1864206370e |
|
BLAKE2b-256 | 36a9ce5b251a0516c528f8b25168e1004ee194ce249094f6254378dcd9f28ccb |
File details
Details for the file easy_dnn-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: easy_dnn-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4068a975bf2acb9bc3cb3dadd0cf5032f693c0791159338b572d3742d0467ff1 |
|
MD5 | cb51eb4a7d5a85546e4dcef66e9a5f0a |
|
BLAKE2b-256 | 9fb35b8e5ef4c8ad3bf153afb8b56c122430fabf76d8a53d8ddce84eb64f0986 |