crypt3lx2k

#! /usr/bin/env python3
"""Downloads pdfs from David Silver's publications directory."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import re
import time

crypt3lx2k

#! /usr/bin/env python

import tensorflow as tf

def inference_fn(x, training=False):
    net = x

    net = tf.layers.flatten(net)
    net = tf.layers.dense(net, 512, activation=tf.nn.relu)
    net = tf.layers.dropout(net, 0.2, training=training)

crypt3lx2k

#! /usr/bin/env python

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)),