Installing Tensorflow-GPU and Keras for R (and Python) on Windows in 2024

Tensorflow-GPU and Keras are popular tools for developing deep learning models in R and Python. In this article, we will walk you through the process of installing Tensorflow-GPU and Keras on a Windows machine in 2024.

Step 1: Install Anaconda

First, you need to install Anaconda, which is a package manager and environment manager for Python. You can download the latest version of Anaconda from the official website and follow the installation instructions.

Step 2: Create a new conda environment

After installing Anaconda, open Anaconda Navigator and create a new conda environment for working with Tensorflow-GPU and Keras. You can do this by clicking on the “Create” button and selecting the required packages.

Step 3: Install Tensorflow-GPU and Keras

Once the new conda environment is created, open a command prompt and activate the environment by running the following command:

conda activate 

Next, you can install Tensorflow-GPU and Keras by running the following commands:

conda install tensorflow-gpu
conda install keras

Step 4: Verify the installation

To verify that Tensorflow-GPU and Keras have been installed correctly, you can launch a Python or R console within the conda environment and import the packages. If there are no errors, then the installation was successful.

Conclusion

In this article, we have outlined the steps for installing Tensorflow-GPU and Keras for R (and Python) on a Windows machine in 2024. By following these instructions, you can start developing deep learning models using these powerful tools. Good luck with your projects!