rapid crown
guys, does anyone know how to fix tf.keras import?
I tried to run the code from the tensorflow documentation in the home page https://www.tensorflow.org/:
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test)
and this is the out put:
ModuleNotFoundError: No module named 'keras'
During handling of the above exception, another exception occurred:
mnist = tf.keras.datasets.mnist
^^^^^^^^^^^^^^^^^
opaque nova
