Neural Network Basics

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吴恩达《深度学习》-课后测验-第一门课 (Neural Networks and Deep Learning)-Week 2 - Neural Network Basics（第二周测验 - 神经网络基础）

Week 2 Quiz - Neural Network Basics(第二周测验 - 神经网络基础) 1. What does a neuron compute?(神经元节点计算什么?) [ ] A neuron computes an activation function followed by a linear function (z = Wx + b)(神经元节点先计算激活函数,再计算线性函数(z = Wx + b)) [ ] A neuron computes a linear f…

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在学习NLP之前还是要打好基础,第二部分就是神经网络基础. 知识点总结: 1.神经网络概要: 2. 神经网络表示: 第0层为输入层(input layer).隐藏层(hidden layer).输出层(output layer)组成. 3. 神经网络的输出计算: 4.三种常见激活函数: sigmoid:一般只用在二分类的输出层,因为二分类输出结果对应着0,1恰好也是sigmoid的阈值之间. .它相比sigmoid函数均值在0附近,有数据中心化的优点,但是两者的缺点是z值很大很小时候,w几乎为0…

课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 1、10个测验题（Neural Network Basics）

--------------------------------------------------中文翻译----------------------------------------------------------------------------------------- 1.神经元的计算是什么?(B) A. 在将输出应用到激活函数之前, 神经元计算所有特征的平均值 B. 神经元计算一个线性函数 (z = Wx + b), 然后是一个激活函数 C. 神经元计算一个激活函数, 后跟一…

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吴恩达《深度学习》-第一门课 (Neural Networks and Deep Learning)-第二周：(Basics of Neural Network programming)-课程笔记

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课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 0、学习目标

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（转）The Neural Network Zoo

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