Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...

While the basic course is free and great for getting started, they also have a ‘Pro’ version if you want to dig deeper. It’s a solid choice if you’re totally new to programming and want a smooth, ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...