The first step is to download Anaconda, a freemium open source distribution of the Python language for large-scale data processing, predictive analytics, and scientific computing that aims to simplify package management and deployment. Anaconda uses the software package management system Conda for package management. In www.anaconda.com/download/#m… Download Anaconda from the website.
After the download is complete, run the following command to install the software: >bash anacond2-4.2.0-linux-x86_64. sh >sudo reboot
Step 2: Set up the running environment of TensorFlow and activate it.
Conda create -n tensorflow python=2.7 source activate tensorflow
Step 3: Execute the following code to install TensorFlow
conda install tensorflow
Some materials will recommend PIP to follow, but you need to solve all kinds of dependency problems including GPU-related support by yourself. Conda will automatically download the dependency packages according to conda, so it is strongly recommended to use Conda to install.
Step 4: Execute the code to test whether TensorFlow is installed successfully and run a HelloTensorFlow.
Import tensorflow as tf hello=tf.contant(‘Hellow world! ‘) session = tf.Sessioin() print(session.run(hello))
If output Hellow World! The installation is successful.
Step 5: Install pyCharm as your IDE tool, which is your custom code editing and project management tool.
Beijing Boshi Technology Co., Ltd. is a technical education service company specializing in online education software development and post-production video