Visualization of the MobileNet-v3-large shapes (ordered similarly by decreasing time percentage, so the most important shapes come first).
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# Training data consist of X=(str, str), y=float: | |
from sklearn.model_selection import train_test_split | |
X = [ | |
["Hello World!", "Good morning!"], | |
["It is raining", "It is cold"], | |
["Beautiful city beside mountain", "Quiet street in downtown area"], | |
["AI is the future", "AI is just a tool"], | |
["This application is great", "software is the problem"], | |
["Hello World!", "Good morning!"], | |
["It is raining", "It is cold"], |