Hands on TensorFlow for Beginners.

This story is a continuation of TensorFlow : No idea where to begin? .

Every TensorFlow program involves building the graph and executing it. To build the graph, we start of with writing a python program in Terminal within TensorFlow virtual environment. To activate the environment, run this command in terminal

We will start to learn TensorFlow and TensorBoard skills by writing simple math commands in TensorFlow. Use a python editor to write the program. The program is explained to you using the comments.

run the above code in terminal within the python environment

exit from the python environment and run ls command to see the exampleTensorflow1 directory has been created. Now run the TensorBoard command on your commandline and specify the log folder

copy your link address and open it in the browser.

port number opened in browser

top bar shows different types of summary statistics that you can write out to your log file. We focus on graphs. Constants a and b are fed into the mul node and c and d are fed into div node and output of mul and div goes to addn. This is a very tiny graph and I will talk about more in the upcoming stories. If you liked this story, please show your support.

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I learn by practice and I remember by writing it down. Just another curious human being.

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Nidhin Mahesh

I learn by practice and I remember by writing it down. Just another curious human being.