kerastest.md

Synapse Analytics Keras Hello world

Run tensorflow 1.14 keras code in Azure synapse analytics. Sample code to test if tensorflow is working.

Syanpse Advanced Analytics

Synapse has the ability to run spark based code which leads to Data engineering or feature engineering and also Machine learning. This articles describes how to train a machine learning model using spark in synapse.

Use case

to run keras hellow world model in azure synapse analytics using tensorflow 1.14

Prerequiste

Use Python notebook.

Check if tensorflow is installed. To do that print the version

import tensorflow as tf
import numpy as np
from tensorflow import keras

print(tf.__version__)

import matplotlib.pyplot as plt

the time this document was created the output was: 1.14.0. The version can change as new development new spark version are released.

Keras code sample.

setup the model

model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])

model.compile(optimizer='sgd', loss='mean_squared_error')

define sample data set for training and testing

xs = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], dtype=float)
ys = np.array([1.0, 1.5, 2.0, 2.5, 3.0, 3.5], dtype=float)

run model

model.fit(xs, ys, epochs=1000)
print(model.predict([7.0]) * 100)

plot the output

plt.title("Regression graph: house size relative to price")
plt.xlabel('Number of bedrooms')
plt.ylabel('House prices')
plt.plot(xs, ys)
plt.show()

If want to try more samples search for keras tensorflow 1.14 examples in search engine.