Top TensorFlow Loss Functions Guide

TensorFlow offers a variety of commonly used loss functions, including but not limited to:

1. Mean Squared Error Loss function
2. Cross Entropy Loss function
3. Hinge loss function
4. Huber loss function
5. Kullback-Leibler Divergence Loss function
6. Softmax cross entropy loss function
7. Sparse Softmax Cross Entropy Loss is a loss function used in machine learning.
8. Sigmoid cross entropy loss function
9. L1 Loss function
10. L2 loss function

These loss functions can be chosen based on the specific task and model to optimize the training of the model.