Rapid Deep Neural Networks
Project description
radnn - Rapid Deep Neural Networks
A library that brings the Rapid Application Development (RAD) approach into the lifecycle of Deep Learning models. Adapts objects from other frameworks and hides their implementation details to put emphasis on:
- Experiments: Data, Models, Training, Reproducibility
- Management: Process, Storage, Deployment
- Evaluation: Metrics, Plots, Visualizations
- Integration: IPC, Web API
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
radnn-0.0.8.tar.gz
(54.6 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
radnn-0.0.8-py3-none-any.whl
(89.9 kB
view details)
File details
Details for the file radnn-0.0.8.tar.gz.
File metadata
- Download URL: radnn-0.0.8.tar.gz
- Upload date:
- Size: 54.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
55f182b2afdf1e31c60bf689e9c60f6bbdb69dd8c75f957017db674de5f7aefb
|
|
| MD5 |
e0cdb2c354b88fcae68fc627437e77a3
|
|
| BLAKE2b-256 |
bfa667dad06c54f6c72c6aa488f5f5b94f16fc3f596f2edde7ae8c565724f68f
|
File details
Details for the file radnn-0.0.8-py3-none-any.whl.
File metadata
- Download URL: radnn-0.0.8-py3-none-any.whl
- Upload date:
- Size: 89.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8fb710773dbb86c950e5c36b8ca32e6decd44a339fe78583b715470a1854d9f1
|
|
| MD5 |
4c404de56f273bd4b6a9a845e866e93d
|
|
| BLAKE2b-256 |
8bee09a798809bbae46013fa870482870a3694eceeacd90453a7df1ee7852c90
|
