# Team's PPT Imformation ## name(English nick name),student ID,major ### Paddy Yang /f44086181 /aeronautic & astronautic ## teamate's photo ![](https://i.imgur.com/ehclovK.jpg) ## ability ### python /solidwork /C /a little C# ## experience ### a little rpg game /draw 3D object with solidwork ## project idea ### auto parking / ## expectation ### Paddy: #### improve programming and English speaking #### learn and finish a real AI model #### cooperate with foreigner #### make friends and enjoy the class
Last changed by  
 
INTRODUCTION TO IMAGE RECOGNITION AI AND ROBOTICS LAB Team Notes
INTRODUCTION TO IMAGE RECOGNITION AI AND ROBOTICS LAB
108

Read more

Assignment#3 Road racing competition

Team9 members: F44086181 Ping-Jung Yang E94096097 Mu-Cheng Chen Soma Ando 安戸蒼真 Classification Method Basic idea about road following by classification method in order to make jetbot follow the road, we need to collect three types of data.(go forward, turn right, turn left) By the data we collect, jetbot will try to run with the route we expect.

6/17/2022
project-classification

1040 pictures batch size:100 accuracy:0.92 fail to run the whole road completely 2048 pictures batch size:100 accuracy:0.91 speed:0.3

1/25/2022
Assignment2-Image Classification Report

Group9 NCKU E94096097Mu-Cheng,Chen NCKU F44086181Ping-Jung,Yang NITKC Ando Soma 1.Ping-Jung,Yang The way I changed the code: I changed the epoch of the training model. By my experience, if the epoch is not increased properly (such as 20 times more), the result would be effected to lower accuracy due to data overfits, so I take 15 epoch for training in order to get more accurate and not make the phnonmenon of overfitting get worse. colab:https://colab.research.google.com/drive/1tiZNHoXae4C3s1YB7UQPJmH6ga_9k9VR?usp=sharing

12/7/2021
Read more from INTRODUCTION TO IMAGE RECOGNITION AI AND ROBOTICS LAB Team Notes
Published on HackMD