# Programming

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References for programming homeworks:

深度學習快速入門—使用 TensorFlow，博碩，2017.

原文書：G. Zaccone, Getting Started with TensorFlow, Packt, 2016. (PDF)

Tensorflow tutorials 神经网络教学教程，周莫烦，44 部Youtube影片。網站說明文字。

Create "

for each programming assignment. Write the report page with**single" and "separate" report page***no more than 2000 words*(in Chinese or English),*a lot of pictures*of your operation/programming captured from your computer screen.

Submit the web address of your report page to Google Classroom.

## P1: TensorFlow Basics

Goal: Understand what TensorFlow is, and install the TensorFlow 1.x.

Readings:

"Chapter 1", Getting Started with TensorFlow.

Tensorflow tutorials 神经网络教学教程，周莫烦，37 部Youtube影片之1-6部。

Install TensorFlow 1.x on your computer.

You can install it on

**Linux, Mac OS, or Windows**.You can choose to install

**CPU or GPU**versions of TensorFlow.

There are two things you have to write in this report page

Installation steps and practice codes (screen capture)

Bug/difficulty you encounter, and the way you solve it.

## P2: TensorFlow Basics II

Goal: Understand TensorFlow basic syntax, such as session, variable, placeholder.

Readings: Tensorflow tutorials 神经网络教学教程，周莫烦，Youtube影片之7-12部。

Report page: There are three things you have to write in this report page

Execute all the sample codes in the 6 tutorial videos. Show and explain those sample codes.

Bug/difficulty you encounter, and the way you solve it.

Refer

for your learning of tensorflow in this homework. The book/youtube videos provided by the teacher can not be referred in your homework.**at least 5 web pages/books/materials**

## P3: Doing Math with TensorFlow

Goal: tensor data structure, fractals, gradients, random number generation, and partial differential equation.

Readings

"Chapter 2 Doing Math with TensorFlow", Getting Started with TensorFlow, G. Zaccone, Packt, 2016. 中文譯本：「

**第二章 用TensorFlow求解數學問題**」，深度學習快速入門─使用TensorFlow，G. Zaccone著/傅運文譯，博碩文化，2017。

Report page: There are three things you have to write in this report page

Execute all the sample codes in the chapter. Show and explain those sample codes. Some extension and/or modification of the sample codes are welcome.

Bug/difficulty you encounter, and the way you solve it.

Refer

for your learning of tensorflow in this homework. The book/youtube videos provided by the teacher can not be referred in your homework.**at least 5 web pages/books/materials**

## P4: Starting with Machine Learning

Goal: Implementation of linear regression, classifier(kNN for MNIST), k-means clustering.

Readings

"Chapter 3 Starting with Machine Learning", Getting Started with TensorFlow, G. Zaccone, Packt, 2016. 中文譯本：「

**第三章 機器學習簡介與應用**」，深度學習快速入門─使用TensorFlow，G. Zaccone著/傅運文譯，博碩文化，2017。

References

Report page: There are three things you have to write in this report page

Execute all the sample codes in the chapter. Show and explain those sample codes. Some extension and/or modification of the sample codes are welcome.

Bug/difficulty you encounter, and the way you solve it.

Refer

for your learning of tensorflow in this homework. The book/youtube videos provided by the teacher can not be referred in your homework.**at least 5 web pages/books/materials**

Option: TensorFlow SVM implementation for MNIST

Apply both Linear SVM and Kernel SVM for MNIST.

Please find SVM sample codes from: TensorFlow Course and Tutorial codes, GitHub. You can also find TensorFlow SVM code by yourself. However, you have to provide the references of your referred codes.

## P5: Introducing Neural Networks

Goal: Implementation of perceptron, logistic regression, MLP, and function approximation.

Readings

"Chapter 4 Introducing Neural Networks", Getting Started with TensorFlow, G. Zaccone, Packt, 2016. 中文譯本：「

**第四章 類神經網路簡介**」，深度學習快速入門─使用TensorFlow，G. Zaccone著/傅運文譯，博碩文化，2017。

References

Report page: There are three things you have to write in this report page

Execute all the sample codes in the chapter. Show and explain those sample codes. Some extension and/or modification of the sample codes are welcome.

Bug/difficulty you encounter, and the way you solve it.

for your learning of tensorflow in this homework. The book/youtube videos provided by the teacher can not be referred in your homework.**at least 5 web pages/books/materials**

## P6: Deep Learning

Goal: Implementation of CNN and RNN.

Readings

"Chapter 5 Deep Learning", Getting Started with TensorFlow, G. Zaccone, Packt, 2016. 中文譯本：「

**第五章 深度學習**」，深度學習快速入門─使用TensorFlow，G. Zaccone著/傅運文譯，博碩文化，2017。

References

Report page: There are three things you have to write in this report page

Bug/difficulty you encounter, and the way you solve it.

for your learning of tensorflow in this homework. The book/youtube videos provided by the teacher can not be referred in your homework.**at least 5 web pages/books/materials**