The last level is level 255 its really hard to get the goal try it your self or just set it. Completing level 255 is a rebirth. Try it this person done it or somebody was first to rebirth.
I want to learn sir please tell me the process, I want to see mathematical equation and theorem, moving and visualization like a pro.... What to learn first and where ?
hey, I'm trying to use this software for a science project, to read the data from a pulse oximiter and output it to a graph, to measure and graph a persons heartrate over 15 minutes, do you think this would work? I would need to fix the camera and pulse oximiter in place and have constant lighting over the 15 minutes, but other than that I would appreciate any advice on anything to watch out for
Hi! I did the same to get the surface levels for a 4D function (f(x,y,z)=x^2+y^2+z^2, here the gif plot a family of spheres of radius R), i wonder if is possible to plot a bar that moves with the variation of R.
Matplotlib FuncAnimation appears to use global variables. Is there a way to put the FuncAnimation code in a main() function and call it with : if _name_ == "__main__": main()
As a newer programmer I was able to understand easily, but you still included some info on higher level concepts which was helpful. For example, the balance between learning rates, batch sizes, and overfitting. Two thumbs up!
Hello I very much enjoyed this tutorial. I'm wondering if you're able to produce more contents like this, especially coding in MATLAB to solve deep-learning problems? For example, the parameters that are useful when training a model, as well as other types of deepnets (e.g., Transformers)... thanks!
Hey, thank you for the tutorial, anyone has an idea why PyCharm might be returning a blank frame (no values/grid no nothing) .gif file? so seems it's not even generating a first frame. Generating a static Fig. works without any problems. thank you in advance
add more machine lerning and neural network techniques and make it generalize to other games. Find the simplest game in terms of simplicity for the strenght of the neural network not yourself as a human and then overcome what it cant do but only do the most simple things first. Add internal repersenations and diverent layers for different time horizons and a way say previous weights / brain states and intermesh them or "summarize or hybernate them to give more space to the current task etc. Also let it write internal represenations and let it edit a small part of the neural network (not all or disaser) like PFC in humans selfregulation speaking to yourself executive functions. Also longterm memory stuff. Just build on top of things. Would be fun to see how it evolves with fun challenges pictures and short conside vids like this. Can use stuff already existing. Try to solve a small thing that has never been done before (and if it did then do it wiht 100000000x less space/compute) :) fun
Question. Can this be done in real time? Or does it only collect all data and then render post? Also. This explanation was insanely clear. I never really understood matolotlib until seeing this.
So the rendering itself is done as it goes. Basically what it does is render each frame of the graph and then drops it into a frame buffer. However I believe it does not encode until the end when it saves. From a practical perspective though, for 60 fps it will take longer to run the script than the final video is. If you wanted matching speeds you'd either need to further optimize or set a lower fps for the output I think. I havent timed it, but I believe for most graphs I would do this with, it will take longer than the 8 or 16 ms per frame I'd want to look real time.
