@sophia.onion@jsonm I’m definitely interested in a Weekend Study Group. I am based in the South Bay (San Jose) but could make the trek up on weekends. Weeknights can be a bit hard.
I am in San Francisco Monday, however, I work 9-5ish. Could cut out early and do a mid day or just before class. Thanks !
@sophia.onion@jsonm@fmichaelkunz I would be interested in a weekend study group. I’m also up for an evening study group (can’t do mornings). We could get together at a coffee shop or whatever.
I feel the same here. Why don’t we start doing a few mini PRs, get feedback, and find the best way to improve it (kind of like SGD itself lol)? Since the package and its dependencies gets updated so quickly, I’d start with documenting the stuff that’s unlikely to change in the next little while.
ECG can be divided in to different waves, marked with different letters P, Q, R, S, and T, and this cycle repeats.
Assume, I have enough data (which I dont have in reality)
From a 30 seconds ECG, I want to separate each PQRST cycle, and in each block I want to mark the points P, Q, R, S and T.
Some time waves can be noise - this should be ignored
Some time, some of the components (PQRST) can be missing due to different illness conditions - this should be ignored.
So, my questions are,
Is this really a deep learning problem?
Which format of input is more efficient? As a time series or as Image?
Can we use a bounding box to separate each cycle? and then use this bounding box to crop the image, and then find the PQRST points as X,Y co-ordinates in cropped sections running it through another neural network?
Can anybody help in this project to find a suitable architecture?
Hi everyone, I left my cell phone in room 153 today (it was on the floor, charging). I was wondering if anybody saw it and picked it up by any chance? I left around 6:00 pm.
What’s the best way to begin contributing to the documentation project mentioned in the Google doc? I haven’t been able to be in SF much the last 2 weeks, but I’m planning to join study hours most days next week. Thanks!
Some of us are meeting today in AirBnB building because USF is closed. 888 brannan street san francisco CA. THe company I work for has a branch there called SAP Concur and I have set up a conference room for us until 12 when sadly I have to go, but afterwards you can sit in the open seating AirBnB provides in the lobby Call me at 41503104576 when you arrive John