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with tf.name_scope('conv1') as scope:
W_conv1 = weight_variable([3, 3, 3, 32])
b_conv1 = bias_variable([32])
h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1) + b_conv1)
print(h_conv1)
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