How to write your own custom loss function in PyTorch

In this video, we dive into custom loss functions in PyTorch — one of the most powerful ways to fine-tune your deep learning models. 💡 You’ll learn: Why loss functions are so crucial for optimization, evaluation, and regularization. The main types of loss functions used in regression and classification. When and why you might need to design your own custom loss function, such as for imbalanced data, domain-specific problems, or unique error sensitivities. Finally, we’ll jump into Python to see exactly how to implement a custom loss function in PyTorch step by step. If you’re ready to move beyond standard losses and tailor your model to your specific needs — this video is for you! 🔥 #PyTorch #MachineLearning #DeepLearning #CustomLoss #AI #Coding To access the code, use the following link: https://github.com/mortezmaali/Custom-_Loss_Function_In_Pytorch.git