Loss Function


### Gradient Available
하나의 input data에 대해서 오차를 계산하는 함수
- [KL Divergence](https://texonom.com/kl-divergence-c7964872f5184a7baaf312605405aef6) 
- [Cross Entropy](https://texonom.com/cross-entropy-fefc71fd930a41a7842f39bccb3abcc9) 
decision-theoretic object that we are bringing in to quantify the negative consequences of error
### Loss Functions
|Title|
|:-:|
|[Mean Squared Error](https://texonom.com/mean-squared-error-18a36a7c349f495e9f960c7b605ad8ed)|
|[RMSE](https://texonom.com/rmse-f61d17a91b174155bd3562c23e67b804)|
|[Binary Crossentropy](https://texonom.com/binary-crossentropy-a0d2492e4aee49c2b7926653041a541a)|
|[Categorical Crossentropy](https://texonom.com/categorical-crossentropy-b883d1401ffc426daea9bac208c8c5df)|
|[L1 Loss Function](https://texonom.com/l1-loss-function-809f81be29194faaa6adfb9057327bbb)|
|[Zero-One Loss](https://texonom.com/zero-one-loss-077d869edbfc4c09ac4441d0e547e961)|
|[Hinge Loss](https://texonom.com/hinge-loss-7ccd3c37b1c64cf5b27a6b1d36067c1a)|


### Loss Function Notion
|Title|
|:-:|
|[Test Loss](https://texonom.com/test-loss-9148d37e324240d19e41f9319fa8a0ab)|
|[Training Loss](https://texonom.com/training-loss-3316afa9758643118624ad288b809861)|




> [0023 Loss & Metric - Deepest Documentation](https://deepestdocs.readthedocs.io/en/latest/002_deep_learning_part_1/0023/)

### Difference by Example
> [What is the difference between a loss function and an error function?](https://stats.stackexchange.com/questions/359043/what-is-the-difference-between-a-loss-function-and-an-error-function)

### Loss Functions
> [Module: tf.keras.losses  |  TensorFlow v2.12.0](https://www.tensorflow.org/api_docs/python/tf/keras/losses)

> [Objective Function, Loss Function, Cost Function의 차이](https://ganghee-lee.tistory.com/28)





[https://deepestdocs.readthedocs.io/en/latest/002_deep_learning_part_1/0023/](https://deepestdocs.readthedocs.io/en/latest/002_deep_learning_part_1/0023/)