Demos for the Neural Network Design & Deep Learning books
Project description
This is a set of demonstrations paired with the Neural Network Design & Deep Learning books. Each demo is linked to a chapter section of the books. You can find more info at https://hagan.okstate.edu/nnd.html.
After installing (creating a virtual environment is recommended), just open the Python Shell and type: from nndesigndemos import nndtoc; nndtoc()
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
nndesigndemos-0.0.1.tar.gz
(128.2 kB
view hashes)
Built Distribution
nndesigndemos-0.0.1-py3-none-any.whl
(207.1 kB
view hashes)
Close
Hashes for nndesigndemos-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0dbe1e80313ffdfca9099d74d713257a571755d4fd3e08af5d2e46de91d44ce3 |
|
MD5 | 304593961e9f92b6ab889b706ffbe185 |
|
BLAKE2b-256 | bee633e64fbee3fbed2a5c50f0f6fed1d713ac605f6afc77cdfbd87241c11bbe |