AI Fundamentals: Understanding Activation Functions (Part 1)
中文摘要
本文探讨神经网络中非线性性的重要性以及通用近似定理。
English Summary
This article explores the necessity of non-linearity in neural networks and the Universal Approximation Theorem.
原文节选
Let’s make a case for non-linearity in neural networks, and understand the Universal Approximation Theorem Continue reading on Towards AI »