Jun 6, 2025 · 2 min read · What is Dropout? Dropout is a regularization technique used to reduce over-fitting in Neural Networks(NN), Deep Learning. Over-fitting occurs when a model fits very well on training data but performs poorly on new data. A complex MLP tries to make a ...
Join discussion
May 5, 2025 · 6 min read · My Journey: Embracing Change and Building My Tech Career — Day 0 Two months ago, I made a decision that changed the course of my life: I stopped waiting. I had been waiting for university to make sense, for validation, and for someone to tell me it w...
Join discussion
Jun 8, 2024 · 5 min read · In machine learning, overfitting is a common problem where models perform well on training data but fail to generalize to unseen data. This article explores essential regularization techniques that help combat overfitting and improve model performanc...
BAELFrank and 3 more commented