UC Berkeley CS188课程作业(2019Summer Ver.)

大三上的人工智能导论课为实践课程, 学习并实践了UC Berkeley CS188 2019 Summer的作业.
期末大作业为使用keras-yolo3+Hough变换检测车道违规压线.
最终课程成绩93/100.
Github Repo
已附Github链接, 如有帮助, 欢迎Star/Fork.
Repo情况如下.

Homework for Introduction to Artificial Intelligence, UC Berkeley CS188.

The famous course is very helpful and important for deeper learning in AI. CS188 2019 summer version

PJ1_search

PJ1_search

PJ2_multiagent

PJ2_MultiAgentSearch

PJ3_reinforcement

PJ3_ReinforcementLearning
PJ3_results

PJ4_Ghostbusters

PJ4_Ghostbusters

PJ4_results

PJ5_machinelearning

In this Project, Q4 requires me to implement a RNN myself, using ReLu for activation, including bias in the model.
PJ5_MachineLearning

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