Deep learning is a complex yet thrilling field where small nuances in implementation make a significant difference in performance and results. In this guide, we’ll connect the dots between critical concepts like logits, Softmax, loss functions, normalization, and training loops. Instead of merely listing these terms, we’ll weave them into a coherent narrative that reflects … Continue reading Deep Learning Foundations: From Logits to Training Loops