摘要:
We can estimate the weight values for our training data using stochastic gradient descent. Stochastic gradient descent requires two parameters: Learni 阅读全文
摘要:
At each step the weight vector is moved in the direction of the greatest rate of decrease of the error function, and so this approach is known as grad 阅读全文
摘要:
We turn next to the task of finding a weight vector w which minimizes the chosen function E(w). Because there is clearly no hope of finding an anlytic 阅读全文