Tutorial: Anaconda + Spyder + TensorFlow 2.0 @ Windows 10

Installation of TensorFlow 2.0 on Anaconda3 at Windows 10

TensorFlow

Sometimes, you may just want to try out or test some simple things for TensorFlow. Google Colab can be used. However, the connection sometimes is not stable. Also, by 01/11/2019, Anaconda is supporting the TensorFlow 2.0. In this story, I will install Anaconda, Spyder and TensorFlow 2.0 in Windows 10. (Sik-Ho Tsang @ Medium)

Outline

1. Anaconda Installation
2. TensorFlow 2.0 Installation
3. Spyder Installation
4. Import TensorFlow

1. Anaconda Installation

Anaconda for Windows

• Assume you already got Windows 10, go to https://www.anaconda.com or https://www.anaconda.com/distribution/#download-section to download the Anaconda for Windows.
• I downloaded Python 3.7 64-Bit version as shown above.

2. TensorFlow Installation

2.1. Direct installation

conda install tensorflow or conda install tensorflow-gpu

2.2. Installation Using Virtual Environment

• CPU: conda create -n <your_env_name> tensorflow
• GPU: conda create -n <your_env_name> tensorflow-gpu
• Since my PC only got CPU without GPU, and I chose to use virtual environment. I used 2.2 CPU one. This also help me to keep clean for the base. With the vitural environment named tf2:
• conda create -n tf2 tensorflow

3. Spyder Installation

• After that, open Anaconda Navigator.
• Click Application on <your_enc_name> to change the environment from base to <your_enc_name>.
• You can see there are several applications can be installed, such as Spyder, and Jupyter Notebook.
• Click the setting icon and choose “Install application” to install Spyder.

4. Import TensorFlow

• To see if it is installed, simply try the below Python code to see any errors:

import tensorflow as tf

My Previous Tutorials

Linux [Ubuntu Installation] [NVIDIA Driver Installation (2018) (Old)] [OpenSSH Installation] [Hard Drive Partitioning/Formatting/Mounting] [Add 1 More GPU] [TeamViewer Installation][NVIDIA Driver Installation (2019)]

Windows [Anaconda + Spyder + TensorFlow 2.0 @ Windows 10]

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