This year, I hoped I could write my first-year review before it ends, but I delayed(, life!). I want to take a step back and see what went well, what...
Early stopping is one of the effective and simplest regularization techniques used in training neural networks. The Idea Behind Early Stopping and...
Neural networks are hard to train. The more they go deep, the more they are likely to suffer from unstable gradients. Gradients can either explode or...
Machine learning, a science of teaching computers to perform tasks without programming them explicitly is classified into five main types that...
Precision and recall are classification metrics that are used when the dataset is not balanced or skewed. It can be challenging to understand the...
For about 4 to 5 months ago, I have been working on a practical and complete machine learning curriculum. The curriculum contains 30+ notebooks from...
