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What is One Hot Encoding - The Whys and Whens of Using it - LearnOpenCV

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LearnOpenCV

LearnOpenCV

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This video explains what One Hot Encoding is and why it is used. One-hot refers to a group of bits among which there is only a single high (1) bit and all others are low (0).
One Hot Encoding is a categorical encoding type used in encoding class labels in Machine Learning problems like Image Classification and Object Detection. It creates a space in which all classes are equidistant from one another. We take an example of the Sum of Squared Error to compare One Hot Encoding with any Simple Encoding Technique.
This is the third video of our tutorial series about Artificial Intelligence for beginners that gives a basic introduction to the field of AI, Machine Learning, Neural Networks, Deep Learning, and Computer Vision.
❓FAQ
What is meant by hot encoding?
What is the use of one hot encoding?
Why is it called one hot encoding?
Why do we use one hot encoding in Python?
⭐️Time Stamps ⭐️
0:00-0:11: Introduction
0:11-1:27: What is One Hot Encoding?
1:27-1:52: Why is this representation called One Hot Encoding?
1:52-5:30: Why do we need One Hot Encoding?
🖥️ On our blog - learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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Пікірлер: 3
@LearnOpenCV
@LearnOpenCV 2 жыл бұрын
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@vijaypurohit8302
@vijaypurohit8302 2 жыл бұрын
Satya, your explanations are amazing, loved it. ❤
@RealSaudiExplorer
@RealSaudiExplorer 2 жыл бұрын
It's an animal with five legs
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