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```python
import tensorflow as tf
from tensorflow.keras import layers, models
# å±€ã®èšå®
model = models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
# ãã©ããåããŠå
šçµåå±€
model.add(layers.Flatten())
model.add(layers.Dense(64, activation='relu'))
model.add(layers.Dense(10, activation='softmax'))
# ã³ã³ãã€ã«
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
# ã¢ãã«ã®æŠèŠã衚瀺
model.summary()
```
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äº there are two roads diverged in a yellow wood,
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And be one traveler, long I stood
And looked down one as far as I could
To where it bent in the undergrowth;
Then took the other, as just as fair,
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Because it was grassy and wanted wear;
Though as for that the passing there
Had worn them really about the same,
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In leaves no step had trodden black.
Oh, I kept the first for another day!
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I doubted if I should ever come back.
I shall be telling this with a sigh
Somewhere ages and ages hence:
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1. ã¯ããŒãã»ã¢ãïŒClaude MonetïŒ
- 代衚äœïŒãå°è±¡ã»æ¥ã®åºãïŒImpression, SunriseïŒ
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2. ããšãŒã«ïŒãªãŒã®ã¥ã¹ãã»ã«ãã¯ãŒã«ïŒPierre-Auguste RenoirïŒ
- 代衚äœïŒãèéã³ã®ã©ã³ããïŒLuncheon of the Boating PartyïŒ
- ã«ãã¯ãŒã«ã¯ã人ç©ç»ãæ¥åžžç掻ã®ã·ãŒã³ãæãããšã§ç¥ãããæž©ãã¿ã®ããè²åœ©ãšæãããªçèŽãç¹åŸŽã§ãã
3. ãšãã¥ã¢ãŒã«ã»ããïŒÃdouard ManetïŒ
- 代衚äœïŒãèäžã®æŒé£ãïŒLe Déjeuner sur l'herbeïŒ
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4. ã«ããŒãŠã»ããµãïŒCamille PissarroïŒ
- 代衚äœïŒãéªã®ã¢ã³ãããŒæãïŒThe Avenue, Pontoise, AfternoonïŒ
- ããµãã¯ã颚æ¯ç»ãå€ãæããå°è±¡æŽŸéåã®åæããæ©å¹ŽãŸã§æŽ»èºããŸããã
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