4.Gradient Descent: Learning by Optimization

Transfer learning consists of taking features learned on one problem, and leveraging them on a new, similar problem. For instance, features from a model that has learned to identify racoons may be useful to kick-start a model meant to identify tanukis.

1. Take layers from...

Most of us have a preferred way of learning. Get to know the learning style you're most comfortable with and study in the ways you learn best.

Note that these styles are just a way to think about diffent studying techniques – they're not hard and fast rules that say you should only study in...

• Previously, creativity demanded precision and control, akin to sculpting—a process where every detail was manually crafted, with each step entirely reliant on the creator’s intent.
• Coding, for instanc...