Planar data classification with one hidden layer 1 - Packages Let’s first import all the packages that you will need during this assignment. - numpy is the fundamental package for scientific computing with Python. - sklearn prov…
Planar data classification with one hidden layer 1 - Packages Let’s first import all the packages that you will need during this assignment. - numpy is the fundamental package for scientific computing with Python. - sklearn prov…
3 - General Architecture of the learning algorithm It’s time to design a simple algorithm to distinguish cat images from non-cat images. You will build a Logistic Regression, using a Neural Network mindset. The following Figure explains why Logistic Regre…
Part 1:Python Basics with Numpy (optional assignment) 1 - Building basic functions with numpy Numpy is the main package for scientific computing in Python. It is maintained by a large community (www.numpy.org). In this exercise you will learn several key numpy…
Python常用内置函数 all(iterable)如果可迭代对象里面所有元素都是真值,则返回True any(iterable)如果可迭代对象里面任意一个元素为真值,则返回True。若全为空(0)则返回False。 ascii(object)返回一个对象的文字的表现形式 bin()把数字转成二进制 bytearray()可修改字节二进制格式 chr 输入ascii码返回字符 ord 输入字符返回ascii码 compile() code = "for i&nbs…
Built-in Functions abs() dict() help() min() setattr() all() dir() hex() next() slice() any() divmod() id() object() sorted() ascii() enumerate() input() oct() staticmethod() bin() eval() int() open() str() bool() exec() isinstance() ord() sum() bytearray() fi…
%% Machine Learning Online Class - Exercise 1: Linear Regression % Instructions % ------------ % % This file contains code that helps you get…
训练神经网络: 参数的随机初始化(吴恩达课程9.6节内容) 利用正向传播算法计算所有的h(x)(即隐藏层等) 编写计算代价函数J的代码(9.1节) 利用反向传播算法计算所有的偏导数(9.2节,9.3节) 利用数值检验方法检验这些偏导数(例如梯度检验法,9.5节) 使用优化算法来最小化代价函数(例如梯度下降等算法,与反向传播算法相结合来处理)