20190321-Understanding the Mathematics behind Gradient Descent(翻译) · Issue #41 · iMchxx/Blog · GitHub
![A Step-by-Step Implementation of Gradient Descent and Backpropagation | by Yitong Ren | Towards Data Science A Step-by-Step Implementation of Gradient Descent and Backpropagation | by Yitong Ren | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*kCHvviwoArAoB92kawUBmg.png)
A Step-by-Step Implementation of Gradient Descent and Backpropagation | by Yitong Ren | Towards Data Science
![SOLVED: Assume that we are using logistic regression to determine weights wo, w1, and w2, where Z = w1X1 + w2X2 + w0X0 with X0 = 1. Suppose we are using stochastic SOLVED: Assume that we are using logistic regression to determine weights wo, w1, and w2, where Z = w1X1 + w2X2 + w0X0 with X0 = 1. Suppose we are using stochastic](https://cdn.numerade.com/ask_images/540e9a3ff24741f0b0e60847e1dfad74.jpg)
SOLVED: Assume that we are using logistic regression to determine weights wo, w1, and w2, where Z = w1X1 + w2X2 + w0X0 with X0 = 1. Suppose we are using stochastic
![Machine Learning week 1: Cost Function, Gradient Descent and Univariate Linear Regression | by Lachlan Miller | Medium Machine Learning week 1: Cost Function, Gradient Descent and Univariate Linear Regression | by Lachlan Miller | Medium](https://miro.medium.com/v2/resize:fit:450/1*8Omixzi4P2mnqdsPwIR1GQ.png)