akail

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)),

akail

<Product xmlns='http://code.google.com/p/open-zwave/'>

<!-- COMMAND_CLASS_ASSOCIATION.  This class is in the list reported by the thermostat, but it does not respond to requests -->
    <CommandClass id="133" name="COMMAND_CLASS_ASSOCIATION" version="1" request_flags="4" create_vars="true">
        <Instance index="1" />
        <Associations num_groups="1">
            <Group index="1" max_associations="5" label="Group 1" >
                <Node id="1" />
            </Group>
        </Associations>