Reinforcement learning is different from semi-supervised
learning, as it works with rewards and feedback. Reinforcement
learning aims to maximize the rewards by their hit and trial
actions, whereas in semi-supervised learning, we train the
model with a less labeled dataset.வலுவூட்டல் கற்றல் என்பது அரை-கண்காணிக்கப்பட்ட கற்றலில்
இருந்து வேறுபட்டது, ஏனெனில் இது வெகுமதிகள் மற்றும்
கருத்துகளுடன் செயல்படுகிறது. வலுவூட்டல் கற்றல் அவர்களின்
வெற்றி மற்றும் சோதனை நடவடிக்கைகளின் மூலம் வெகுமதிகளை
அதிகரிப்பதை நோக்கமாகக் கொண்டுள்ளது, அதேசமயம்
அரை-கண்காணிக்கப்பட்ட கற்றலில், குறைவான லேபிளிடப்பட்ட
தரவுத்தொகுப்புடன் மாதிரியைப் பயிற்றுவிக்கிறோம்.
English
English (Australia)
Reinforcement learning is different from semi-supervised
learning, as it works with rewards and feedback. Reinforcement
learning aims to maximize the rewards by their hit and trial
actions, whereas in semi-supervised learning, we train the
model with a less labeled dataset.Reinforcement learning is different from semi-supervised
learning, as it works with rewards and feedback. Reinforcement
learning aims to maximize the rewards by their hit and trial
actions, whereas in semi-supervised learning, we train the
model with a less labeled dataset.
English (Australia)
English
Reinforcement learning is different from semi-supervised
learning, as it works with rewards and feedback. Reinforcement
learning aims to maximize the rewards by their hit and trial
actions, whereas in semi-supervised learning, we train the
model with a less labeled dataset.Reinforcement learning is different from semi-supervised
learning, as it works with rewards and feedback. Reinforcement
learning aims to maximize the rewards by their hit and trial
actions, whereas in semi-supervised learning, we train the
model with a less labeled dataset.
English (Australia)
English
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English (Australia)
English
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English
unit-4 - AI Analyst - OpenCV, What is OpenCV, Example of
Opencv , How to install the OpenCV , Two main task of OpenCV
.How does the computer recognize the image, Two common way to
identify the image- (grayscale, RGB) , Why is OpenCV used?
ML,What is ML, Domains of ML, Types of ML , Algorithm of
MLunit-4 - AI Analyst - OpenCV, What is OpenCV, Example of
Opencv , How to install the OpenCV , Two main task of OpenCV
.How does the computer recognize the image, Two common way to
identify the image- (grayscale, RGB) , Why is OpenCV used?
ML,What is ML, Domains of ML, Types of ML , Algorithm of
ML
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