We proceed with the recipe as follows:

1. Create a conda environment using the following at command line (If you are using Windows it will be better to do it as Administrator in the command line):

conda create -n tensorflow python=3.5

2. Activate the conda environment:

# Windows    
activate tensorflow
#Mac OS/ Ubuntu:    
source activate tensorflow
  

3. The command should change the prompt:

# Windows
(tensorflow)C:>
# Mac OS/Ubuntu    
(tensorflow)$

4. Next, depending on the TensorFlow version you want to install inside your conda environment, enter the following command:

## Windows
# CPU Version only
(tensorflow)C:>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0cr2-cp35-cp35m-win_amd64.whl

# GPU Version  
(tensorflow)C:>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.3.0cr2-cp35-cp35m-win_amd64.whl

## Mac OS
# CPU only Version
(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.3.0cr2-py3-none-any.whl

# GPU version
(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.3.0cr2-py3-none-any.whl

## Ubuntu
# CPU only Version
(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0cr2-cp35-cp35m-linux_x86_64.whl

# GPU Version
(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0cr2-cp35-cp35m-linux_x86_64.whl

5. On the command line, type python.
6. Write the following code:

import tensorflow as tf
message = tf.constant('Welcome to the exciting world of Deep Neural Networks!')
with tf.Session() as sess:
    print(sess.run(message).decode())

7. You will receive the following output:

8. Deactivate the conda environment at the command line using the command deactivate on Windows and source deactivate on MAC/Ubuntu.