Examples Of Initialization Techniques In Deep Learning

This article explores the importance of initialization in deep learning and the common techniques used. It explains how to build a neural network using the three initialization methods: zeros, random, and He. The choice of initialization technique can significantly impact a network’s ability to learn and generalize.