Building Strong Intuition for Gradient Descent in Neural Networks Through Elementary Calculus
中文摘要
通过微积分基础手动推导梯度，帮助直观理解神经网络中梯度下降算法的运作原理。
English Summary
Learn gradient descent intuitively by manually calculating error and influence using elementary calculus principles.
Original Excerpt
Learn the gradient by hand: error × influence, one step at a time Continue reading on Medium »