Detection algorithms >> Convolutional Neural Networks
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Detection algorithms
TOTAL POINTS 10
1 point
- y = [1, 0.3, 0.7, 0.3, 0.3, 0, 1, 0]
- y = [1, 0.7, 0.5, 0.3, 0.3, 0, 1, 0]
- y = [1, 0.3, 0.7, 0.5, 0.5, 0, 1, 0
- y = [1, 0.3, 0.7, 0.5, 0.5, 1, 0, 0]
- y = [0, 0.2, 0.4, 0.5, 0.5, 0, 1, 0]
1 point
- y = [1, ?, ?, ?, ?, ?, ?, ?]
- y = [0, ?, ?, ?, ?, ?, ?, ?
- y = [?, ?, ?, ?, ?, ?, ?, ?]
- y = [1, ?, ?, ?, ?, 0, 0, 0]
- y = [0, ?, ?, ?, ?, 0, 0, 0]
What is the most appropriate set of output units for your neural network?
1 point
- Logistic unit (for classifying if there is a soft-drink can in the image)
- Logistic unit, b_x and b_y
- Logistic unit, b_x , b_y, b_h(since b_w = b_h)
- Logistic unit, b_x , b_y , b_h , b_w
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