This channel focused on python tutorials across many topics such as machine learning, AI, data science, and signal processing. The goal is to teach python by doing interesting project.
hi. ı have to use tf-gpu 1.5 version. so ı m following your video. hovewer my rtx 3050 is not supported by cuda toolkit 9.0. But tf-gpu 1.5 is supporting cuda 9 and cudnn 7. What can ı do now
Recommendations: use np.frombuffer(data, dtype=np.int16) instead of the struct method use rfft instead of fft to make things faster use the matplotlib FuncAnimation to update the graph periodically (much cleaner) use rfftfreq(chunk, 1/sample_rate) to get the x-coords for correct frequency bins
import numpy as np from scipy.misc import derivative def f(x): return np.log(x) x1 = 1.01 x = np.linspace(0.2, 2, 500) m = derivative(f, x1, dx=0.1) for n in range(6): xn = x1 -( f(x1) / m) print(xn) x1 = xn
There might be a newer version of NCSDK that works with 22.10. The install shell script had a version check, so you might be able to comment that out. Thats how I got it work with Ubuntu 18.04
I'm running (what I believe) is a fairly basic 3D parametric surface, that morphs with a slider. I'm using Matplotlib, and it's pretty laggy (plot doesn't transition smoothly with the slider). Would OpenGL work for this? Running on a Mac mini, so GPU isn't great.
Hello. I am new to python as my first language What if I want to update the python on Spyder from 3.8 to 3.10 say? I get C:\Users\becon>conda create -n py310_test python=3.10 Collecting package metadata (current_repodata.json): failed Any help will be appreciated
When we run 3 epochs in the training then, is there different choose neurons in each epoch?. In other words 3 diferents combinations of neurons in each epoch, which is consequence of dropout.
