神经网络入门

功能介绍

关于 神经网络入门

Artificial neural networks learn by detecting patterns in huge amounts of information. Much like your own brain, artificial neural nets are flexible, data-processing machines that make predictions and decisions. In fact, the best ones outperform humans at tasks like chess and cancer diagnoses. In this course, you'll dissect the internal machinery of artificial neural nets through hands-on experimentation, not hairy mathematics. You'll develop intuition about the kinds of problems they are suited to solve, and by the end you’ll be ready to dive into the algorithms, or build one for yourself.

A basic proficiency with algebra will help you understand this course. Remembering how to get the slope from an equation of a line is enough. Some basic knowledge of logic, like what **AND** and **OR** mean would also be useful. You don't need to know how to code to learn a lot from this course.

Guided interactive problem solving that’s effective and fun. Try thousands of interactive lessons in math, programming, data analysis, AI, science, and more.