質問編集履歴
2
全体コードを追加しました
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### コード全体
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```
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import tensorflow as tf
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import datetime
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import numpy as np
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mnist = tf.keras.datasets.mnist
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(x_train, y_train),(x_test, y_test) = mnist.load_data()
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x_train, x_test = x_train / 255.0, x_test / 255.0
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model = tf.keras.models.Sequential([
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tf.keras.layers.Flatten(input_shape=(28, 28)),
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tf.keras.layers.Dense(512, activation=tf.nn.relu),
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tf.keras.layers.Dropout(0.2),
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tf.keras.layers.Dense(10, activation=tf.nn.softmax)
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])
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model.compile(optimizer='adam',
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loss='sparse_categorical_crossentropy',
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metrics=['accuracy'])
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log_dir="logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M")
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tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
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model.fit(x=x_train,
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y=y_train,
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epochs=5,
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validation_data=(x_test, y_test),
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callbacks=[tensorboard_callback])
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file_writer = tf.summary.create_file_writer(log_dir)
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with file_writer.as_default():
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images = np.reshape(x_train[0:10], (-1, 28, 28, 1))
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tf.summary.image("25 training data examples", images, max_outputs=10, step=epoch)
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model.evaluate(x_test, y_test)
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```
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### 環境
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Anaconda3
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1
文の修正
test
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test
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@@ -28,9 +28,15 @@
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と出ます。
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-
](479330c82417ff546b0849de47edd1e2.jpeg)
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↓のようにしたいです。
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](479330c82417ff546b0849de47edd1e2.jpeg)
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変更点などよろしくお願いします。
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