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You should now get the following message.Optionally you can use -port= to change the port TensorBoard runs on.Type of data saved into the event files is called summary data.Files that TensorBoard saves data into are called event files.-logdir is the directory you will create data to visualize.Exit the Python prompt (that is, >) by typing exit() and type in the following command.

If you can run this successfully you are fine.Type in python3, you will get a > looking prompt.Make sure that you can see the TensorFlow library through Python.If you are using Python virtuanenv, activate the virtual environment you have installed TensorFlow in.Open up the command prompt (Windows) or terminal (Ubuntu/Mac).To visualize things via TensorBoard, you first need to start its service. # This code has been tested with TensorFlow 1.6įrom import input_data Tip: check out DataCamp's Deep Learning course with Keras here.īefore you get started, make sure to import the following libraries to run the code successfully: from pandas_datareader import data