from tensorflow import keras
import tensorflow as tf
from keras.models import Sequential
from keras.layers import Dense



classifier = keras.models.Sequential()
classifier.add(tf.layers.Dense(units = 6, kernel_initializer = keras.initializers.he_uniform(), activation = tf.nn.relu, input_shape =(11,)))
classifier.add(tf.layers.Dense(units = 6, kernel_initializer = keras.initializers.he_uniform(), activation = tf.nn.relu))
classifier.add(tf.layers.Dense(units = 1, kernel_initializer = tf.keras.initializers.he_uniform(), activation = tf.nn.softmax))

classifier.compile(optimizer=tf.keras.optimizers.Adam(lr=0.0001),
                      loss=tf.keras.losses.binary_crossentropy,
                      metric=tf.keras.metrics.categorical_accuracy)


my_estimator = tf.keras.estimator.model_to_estimator(keras_model=classifier)