Minimal IA for image recognition
Project description
Transcendental (π)
Artificial Intelligence image recognition.
Learn from input data and generate model, predict from previous generated model
Install
$ pip install transcendental
Usage
$ # Work in progress
Resources
- https://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8
- https://drive.google.com/drive/folders/1XaFM8BJFligrqeQdE-_5Id0V_SubJAZe
- https://machinelearningmastery.com/save-load-keras-deep-learning-models/
- https://www.quora.com/How-do-artificial-neural-networks-work
- http://torch.ch/blog/2015/11/13/gan.html
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
transcendental-0.2.0.tar.gz
(15.7 MB
view details)
Built Distribution
File details
Details for the file transcendental-0.2.0.tar.gz
.
File metadata
- Download URL: transcendental-0.2.0.tar.gz
- Upload date:
- Size: 15.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46e068b0e7bae1cbf12725f3907a01ca25239839ad65de2446d234080bdd9536 |
|
MD5 | 4cb00ae2ca58d3fe73f6b0bc319cd3db |
|
BLAKE2b-256 | e3fc4858385d82488204cfe44daeb331bdcd8c565e00bb278c79dff9b7a724ba |
File details
Details for the file transcendental-0.2.0-py2.py3-none-any.whl
.
File metadata
- Download URL: transcendental-0.2.0-py2.py3-none-any.whl
- Upload date:
- Size: 14.9 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfbafdbc685df9417f8cc739003d1d98a75bad75921896884d9bf04645256b01 |
|
MD5 | cf457bf16b7a66eac7f964cc19d69048 |
|
BLAKE2b-256 | ce06c7f9df9c5c73326dd6c85d45c3fef3da9f973b6301b70eb997a77967e4b6 |