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Project 1, Hog is released. Entire project is due Monday, July 8th at 11:59 PM PDT. You may complete phases 2/3 with one partner. HW2 is due Tuesday, July 9th at 11:59 PM PDT. Project 2 will be released 7/8 or 7/9. The first two phases (totaling ~4 questions) are due Friday, 7/12

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CS 294-112 at UC Berkeley. Deep Reinforcement Learning. Lectures: Wed/Fri 10-11:30 a.m., Soda Hall, Room 306. The lectures will be streamed and recorded.The course is not being offered as an online course, and the videos are provided only for your personal informational and entertainment purposes.

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Project 3-2, Part 5: GLSL Shading In previous parts, we've been doing all of our computation on CPU. You've likely felt the effects of this already, waiting minutes to render a single frame with any realistic lighting, even with threading.
So, if you do a real project then I'd recommend using a low cost DSP instead. Exceptions: When you're doing an ungodly number of audio channels at the same time, or you are doing FIR's with an absurd number of taps. \$\endgroup\$ – user3624 Jun 24 '11 at 17:43
Manage Git repositories with fine-grained access controls that keep your code secure. Perform code reviews and enhance collaboration with merge requests. Each project can also have an issue tracker and a wiki.
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EECS 485 Lab 10: Project 5 Setup. Due: 8:00pm EST November 15, 2020. Goals. Set up local development environment, version control, and Python virtual environment; Set up skeleton code for project 5, a Wikipedia Search Engine; Project 5 Setup. Lab 10 is the Project 5 setup tutorial. Stop when you get to "Inverted Index with MapReduce ...4/5/2018 EECS 280 Project 5: Machine Learning | p5-ml https://eecs280staff.github.io/p5-ml/ 5/21 Authors This project was developed for EECS 280, Fall 2016 at the University of Michigan. Andrew DeOrio and James Juett wrote the original project and specification. Amir Kamil contributed to code structure, style, and implementation details ...