UC Berkeley CS189 HW3 (MNIST) Spring 2024 CS189 HW3 competition for MNIST classification with Gaussian Discriminant Analysis. Spring 2024.OverviewDataDiscussionLeaderboardRulesDataset Description text_snippet Metadata License Subject to Competition Rules...
Repository files navigation README cs189 this repo only contains the coding half of the course (other half was handwritten math)About intro ML uc berkeley course taken spring 2019 homework backup Resources Readme Activity Stars 8 stars Watchers 2 watching Forks 11 forks Report repository ...
[3]EECS/CS Program Comparison Chart:https://eecs.berkeley.edu/academics/undergraduate/eecs-cs-comparison-chart [4]Data Science and Systems:https://eecs.berkeley.edu/node/370 [5]Visual Computing and Computer Graphics:https://eecs.berkeley.edu/node/389 [6]Graduate Research Program Admissions:https...
然后会有GSI带课，听说讲的非常好L&S CS大一上：CS 61A, RHETOR R1B, DATA 8, ASTRO C10选Astro...
CS188 EdX 课程,从马尔可夫决策过程 I 开始:http://ai.berkeley.edu/home.html Richard S. Sutton 与 Andrew G. Barto 的《强化学习导论》,第三章和第四章:http://incompleteideas.net/book/the-book-2nd.html 有关MDP 的介绍,请参阅吴恩达的论文《Shaping and policy search in Reinforcement learning》:ht...
今天也是实名辱骂berkeley不给我书读的一天 朋友说想来伯克利交换一个学期，被我劝退了。我发自内心觉得...
课程主页:http://rll.berkeley.edu/deeprlcourse/ 所有视频的链接:https://www.youtube.com/ playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3 知识背景 本课程要求具有 CS 189 或同等学力。本课程将假定你已了解强化学习、数值...
选自UC Berkeley 机器之心整理 CS294 深度强化学习 2017 年秋季课程的所有资源已经放出。该课程为各位读者提供了强化学习的进阶资源,且广泛涉及深度强化学习的基本理论与前沿挑战。本文介绍了该课程主要讨论的强化学习主题,读者可根据兴趣爱好与背景知识选择不同部分的课程。请注意,UC Berkeley 的 CS 294 并未被归类为...
CS 61B_ Data Structures - Shewchuk - UC Berkeley英文学习资料.pdf,2016/4/28 CS 61B: Data Structures - Shewchuk - UC Berkeley CS 61B Data Structures Prof. Jonathan Shewchuk jrs@cory.eecs (But ask most questions on the CS 61B Piazza discussion group and sen
选自UC Berkeley,机器之心整理 CS294 深度强化学习 2017 年秋季课程的所有资源已经放出。该课程为各位读者提供了强化学习的进阶资源,且广泛涉及深度强化学习的基本理论与前沿挑战。本文介绍了该课程主要讨论的强化学习主题,读者可根据兴趣爱好与背景知识选择不同部分的课程。请注意,UC Berkeley 的CS 294并未被归类为在...