继续看yusugomori的代码,看逻辑回归.在DBN(Deep Blief Network)中,下面几层是RBM,最上层就是LR了.关于回归.二类回归.以及逻辑回归,资料就是前面转的几篇.套路就是设定目标函数(softmax损失函数),对参数求偏导数,得出权重更新公式等. LogisticRegression.h注释如下: class LogisticRegression { public: int N; // number of input samples int n_in; // numb
Given a nested list of integers, return the sum of all integers in the list weighted by their depth. Each element is either an integer, or a list -- whose elements may also be integers or other lists. Different from the previous question where weight
Given a nested list of integers, return the sum of all integers in the list weighted by their depth. Each element is either an integer, or a list -- whose elements may also be integers or other lists. Example 1: Given the list [[1,1],2,[1,1]], return
一开始没看懂stddev是什么参数,找了一下,在tensorflow/python/ops里有random_ops,其中是这么写的: def random_normal(shape, mean=0.0, stddev=1.0, dtype=types.float32, seed=None, name=None): """Outputs random values from a normal distribution. Args: shape: A 1-D integer Te
