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- >sam = np.array([ [[.5, .6, .3]], [[.6, .6, .3]], [[.5, .6, .3]] ])
- >model.predict(sam)
- array([[ 0.23589483],
- [ 0.2327884 ],
- [ 0.23589483]])
- sam = np.array([ [[.1],[.1],[.9]], [[.1],[.9],[.1]], [[.1],[.1],[.9]] ])
- model.predict(sam)
- array([[ 0.69906837],
- [ 0.1454899 ],
- [ 0.69906837]])
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