Ultimate Guide to PyTorch Loss Functions

PyTorch Loss Functions Intuition


2. PyTorch Loss Functions for Classification

Let us now understand the PyTorch loss functions for classification problem that is generally calculated using probabilistic losses.

PyTorch Loss Functions Intuition for Binary Cross Entropy

When could it be used?

This function can be used for binary classification.


Below is the syntax of the Cross-Entropy loss function in PyTorch.

Example of Hinge Embedding Loss in PyTorch
The below example shows how we can implement Hinge Embedding Loss in PyTorch.
  • Palash Sharma

    I am Palash Sharma, an undergraduate student who loves to explore and garner in-depth knowledge in the fields like Artificial Intelligence and Machine Learning. I am captivated by the wonders these fields have produced with their novel implementations. With this, I have a desire to share my knowledge with others in all my capacity.

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