I write about AI, Machine Learning, and Deep Learning in an easy-to-understand way.

Ever trained a deep learning model twice and got different results? 🤔 That’s because randomness is everywhere in machine learning—weight initialization, data shuffling, mini-batch sampling, and more!

The Softmax function is a key activation function in machine learning, particularly in classification tasks. It converts raw model outputs into probabilities, helping neural networks make decisions. In this post, we’ll explore how Softmax works, why it’s useful, and where it’s commonly applied.

What is AI, Machine learning and Deep learning