Adam Optimizer in PyTorch with Examples

pytorch adam optimizer 1

Throughout my more than ten years as a Python developer, I have worked with various optimization algorithms for deep learning models. Among these, Adam has consistently been one of my preferred choices due to its efficiency and reliability. Adam (short for Adaptive Moment Estimation) combines the best aspects of other popular optimizers like AdaGrad and … Read more >>

Cross Entropy Loss in PyTorch

crossentropy_loss

Recently, I was working on a deep learning project where I needed to train a neural network for image classification. When selecting a loss function, I found that Cross Entropy Loss was recommended for multi-class classification problems, but I wasn’t entirely clear on how to implement it properly in PyTorch. Cross-entropy loss is a widely … Read more >>