Metadata-Version: 2.1
Name: quicklearning
Version: 0.0.22
Summary: Create Tensorflow models and train them fast and easy
Home-page: https://github.com/JorgePoblete/quicklearning
Author: koke
Author-email: jpobleteriquelme@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: requests (>=2.24.0)
Requires-Dist: joblib (>=0.16.0)
Requires-Dist: tqdm (>=4.49.0)
Requires-Dist: matplotlib (>=3.3.2)
Requires-Dist: Pillow (>=7.2.0)
Requires-Dist: DuckDuckGoImages (>=2.0.0)
Requires-Dist: tensorflow (>=2.3.0)
Requires-Dist: tensorflow-hub (>=0.9.0)
Provides-Extra: dev
Requires-Dist: pytest (>=3.7) ; extra == 'dev'


 ## quicklearning

## Instalation

To install run the following:

```python
pip install quicklearning
```

## automodel usage

First import
```python
from quicklearning.classification.image import quick
```

then run something like
```python
model = quick.fit(10, ['cat', 'dog'], verbose=True)
```

This will create a dataset of images from the image search results from [DuckDuckGo](https://duckduckgo.com), then create a new model based on a pretained model and lastly it will do the actual training of the model.

