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Getting Started With Tensorflow on IBM Bluemix [Video]

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Getting Started With Tensorflow on IBM Bluemix [Video]

I wanted to learn Tensorflow — which, to me, looks like the most popular Deep Learning library right now. This video was very helpful.

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To learn Deep Learning, I’ve taken an Udacity course that I can highly recommend. One reason I took that course was because I also liked the Udacity Machine Learning courses. Another reason was because I wanted to learn Tensorflow — which, to me, looks like the most popular Deep Learning library right now.

Below is the YouTube playlist of the course. The assignments can be run locally via Docker.

Another good starting point to learn Tensorflow is the video Tensorflow and Deep Learning — Without a Ph.D. by Martin Görner.

To run Tensorflow on IBM Bluemix, you can use Docker. Alternatively, you can use Tensorflow in notebooks on IBM Data Science Experience. Check out the hello world sample how to install Tensorflow:

#!pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
import tensorflow as tf
 
# Create TensorFlow object called hello_constant
hello_constant = tf.constant('Hello World!')
 
with tf.Session() as sess:
    # Run the tf.constant operation in the session
    output = sess.run(hello_constant)
    print(output)

Hope this helps!

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Topics:
big data ,tensorflow ,ibm bluemix

Published at DZone with permission of Niklas Heidloff, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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