Testing Out TensorFlow Environment

Automated driving sounds cool, so I'm too excited to learn something about the technologies involved in this space. And one of the first things I had to do was to learn TensorFlow.

Here are the steps I used to install TensorFlow on macOS Sierra.

• Install Anaconda.
• Run the following steps to setup Anaconda environment:

  conda create --name=IntroToTensorFlow python=3 anaconda
  source activate IntroToTensorFlow
  conda install -c conda-forge tensorflow
  

• Run the following code in your favourate python code editor to make sure TensorFlow environment is working as expected:

  import tensorflow as tf
  import numpy as np
  import matplotlib.pyplot as plt
  %matplotlib inline
  
  # 2x5 Tensor of randomally distributed numbers
  normal = tf.random_normal([2, 5], mean=2.0, stddev=4.0)
  with tf.Session() as sess:
      out = sess.run(normal)
      print(out) # print the 2x5 matrix
      x, y = out # split up the 2x5 matrix into two 1x5 vectors, x and y
      plt.scatter(x, y) # create scatter plot with x and y
      plt.show() # show scatter plot
  

  You should see the scatter plot output something similar to this:

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