How Residual Connections in Transformers stabilize its training?

Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most powerful solutions: Residual Connections in Transformers What you’ll learn in this video: ✅ Why training deep networks is difficult? ✅ How residual connections work and why they are game-changers ✅ The key advantages of residual connections ✅ How residual connections fit seamlessly into Transformers (inside the Add & Norm step) By the end of this video, you’ll understand why residual connection…