In order to find out performance of my dehumidifier, I use Raspberry Pi to detect temperature and humidity in my room and generate interactive plot for monitoring. Here is the step-by-step tutorials.
This is a brief review of tutorials from Stanford University— Unsupervised Feature…
It is refer as “dead neurons”, when we train a neural network improperly, as a result, some neurons die, produce unchangeable activation and never revive.
When we download a huge image dataset from the internet, occasionally we may encounter image corruption due to incomplete download. For example:
In [1]: import cv2In [2]: img = cv2.imread('corrupted.jpg')Premature end of JPEG file
Sometime when we train our model, we not only want to monitor some standard metrics (e.g. loss, accuracy, MSE) but also want to put in a short script to probe the model once in a while. For example, visualization…