A library for Crossmodal Supervised Learning Algorithm with Time Series Memory Recording & Long Short-Term Memory Networks
Project description
An implementation of “Crossmodal Supervised Learning Algorithm with Time Series Memory Recording & Long Short-Term Memory Networks”
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
cerebrum-0.1.22.tar.gz
(14.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cerebrum-0.1.22.tar.gz.
File metadata
- Download URL: cerebrum-0.1.22.tar.gz
- Upload date:
- Size: 14.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca6d6ce38adcf70bd53d8ed2d895e347bf5b92f2279d9b550ff32ee83417605a
|
|
| MD5 |
bb475d4eb1c92e6d337455e4fe61f6fa
|
|
| BLAKE2b-256 |
51cffb310a9995ea0853083528acf1eed0261bb2d34c21e99ce5d3dad763f364
|
File details
Details for the file cerebrum-0.1.22-py2.py3-none-any.whl.
File metadata
- Download URL: cerebrum-0.1.22-py2.py3-none-any.whl
- Upload date:
- Size: 20.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00bcd4dadc1c340ac778b6ba047dea55ac59c69fc1a428fbe039f369c9c9c470
|
|
| MD5 |
b6ada3b5909d805c45d94b17f0f9937c
|
|
| BLAKE2b-256 |
1aa1aaeecf72d481bb1d6528e0cd3b0223ebeb7e86537f81bf9cc2d05ce4653a
|
