Practical Convolutional Neural Networks
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For macOS X/Linux variants

The following code snippet creates a Python virtual environment and installs TensorFlow in that environment. You should have Anaconda installed before you run this code:

#Creates a virtual environment named "tensorflow_env" assuming that python 3.7 version is already installed.
conda create -n tensorflow_env python=3.7
#Activate points to the environment named "tensorflow" source activate tensorflow_env conda install pandas matplotlib jupyter notebook scipy scikit-learn
#installs latest tensorflow version into environment tensorflow_env pip3 install tensorflow

Please check out the latest updates on the official TensorFlow page, https://www.tensorflow.org/install/.

Try running the following code in your Python console to validate your installation. The console should print Hello World! if TensorFlow is installed and working:

import tensorflow as tf

#Creating TensorFlow object 
hello_constant = tf.constant('Hello World!', name = 'hello_constant')
#Creating a session object for execution of the computational graph
with tf.Session() as sess:
    #Implementing the tf.constant operation in the session
    output = sess.run(hello_constant)
    print(output)