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"### VGG16 아키텍처의 주요 특징\n", "\n", - "모델에 대한 입력은 고정 크기인 224×224 RGB 이미지이다.\n", + "![vggnet](./images/vggnet.png)\n", + "\n", + "모델에 대한 입력은 고정 크기인 224×224x3 RGB 이미지이다.\n", "\n", "전처리는 각 픽셀에서 훈련 데이터 세트에서 계산된 평균 RGB 값을 빼는 것이다.\n", "\n", @@ -48,6 +52,8 @@ "source": [ "### 데이터셋 (Cifar10)\n", "\n", + "![cfar10](./images/cfar10.png)\n", + "\n", "* 이미지 수와 카테고리: 데이터셋은 총 60,000개의 이미지로 구성되어 있으며, 이 중 50,000개는 학습용, 10,000개는 테스트용으로 분리되어 있다. \n", "\n", "* 10가지 카테고리는 각각 공통된 대상을 나타낸다. \n", @@ -187,7 +193,7 @@ } ], "source": [ - "model.fit(X_train, Y_train, batch_size=32, epochs=10, validation_split=0.2)\n" + "model.fit(X_train, Y_train, batch_size=32, epochs=10, validation_split=0.2)" ] }, {