Metadata-Version: 2.1
Name: tf-multilabelloss
Version: 0.0.1
Summary: it's implimentation of preceptron
Home-page: https://github.com/omkarsingh1008/multi_label_loss_pypi
Author: omkarsingh1008
Author-email: omkarsinghrajpurohit363@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/omkarsingh1008/multi_label_loss_pypi/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# tf-multilabelloss

how to use tf-multilabelloss

```python
from multi_label_loss.multilabelloss import MultilabelLoss
predictions = Dense(len(num_class), activation="sigmoid")(x)
model = Model(inputs=base_model.input, outputs=predictions)
model.compile(optimizer='adam', loss=MultilabelLoss(num_class),metrics=['binary_accuracy'])
```


