代写FALL CSE 400 AS、帮写Python编程留学生、Python语言程序调试、Python语言代写

日期：2018-09-25 10:29

Fall CSE 400 AS 2

2018 Machine Intelligence with Deep Learning 9/18/2018

Assignment 2: Loss Function

Description

In this homework you will practice how to create SVM & Softmax loss function in Python with

NumPy package. You need to understand how SVM & Softmax loss function work in order to

complete this homework successfully.

Instruction

*** Before you start, install matplotlib package to plot images and weights. Open Command

line (cmd)/Terminal and type “(sudo) pip3 install matplotlib”

In this homework, you need to fill the block of code in assignment2.py, pythonSVMLoss(),

numPySVMLoss(), pythonSoftmaxLoss(), and numPySoftmaxLoss() function.

- In each file has comments that will walk you through the implementation, and also,

it has the explanation in each block of code that you have to fill in.

- Don’t put any print function in your answer.

- Comment your codes as much as you can.

- Edit/Add any source code outside TODO block is not allowed.

Submission

- Your submission will contain 1 python file named as assignment2.py

- Zip file named via the following convention:

<SU-EMAIL>_<FIRST-Name>_AS2.zip

Ex. kpugdeet_Krittaphat_AS2.zip

- Upload zip file to blackboard before 11:59PM (EST Time) 9/24/2018