Get Started with Tensorflow for Tensorflow 1.7.0

TensorflowTest.py

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

# ValueError in here
# The first layer in a Sequential model must get an `input_shape` argument.
# MNIST data has the array with shape 28 by 28 tuple
# put 60K array into 1D-convolution layer

model = tf.keras.models.Sequential([
  tf.keras.layers.Conv1D(60000, 1, 1, input_shape=(28, 28)),	# insert here
  tf.keras.layers.Flatten(),
  tf.keras.layers.Dense(512, activation=tf.nn.relu),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation=tf.nn.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)

Source: https://www.tensorflow.org/tutorials/