应用于图像分类的深度神经网络：应用 完成本节后，您将完成第4周的最后编程任务，也完成本课程的最后编程任务！ 您将使用您在之前的作业中实施的函数来构建深度网络，并将其应用于猫与非猫分类。 希望相对于之前的逻辑回归实现，您将看到精度的提高。 完成这项任务后，您将能够： 建立和应用深度神经网络监督学习。 1 – 包 Let's first import all the packages that you will need during this assignment. numpy is the fundamen…

Part 1：Building your Deep Neural Network: Step by Step 1 - Packages Let’s first import all the packages that you will need duri ng this assignment. - numpy is the main package for scientific computing with Python. - matplotlib is …

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…