Install Tensorflow/Keras in WSL2 for Applications of Deep Neural Networks

Welcome to our video tutorial on how to install Python, Keras, and TensorFlow with WSL2 (Windows Subsystem for Linux) for our course "Applications of Deep Neural Networks" at Washington University.

If you are a student in our course and want to install these tools on your computer to work on your projects, this video will guide you through the process step-by-step. However, if you prefer not to install these tools on your computer, you can also use Google Colab, which is a cloud-based platform that allows you to run Python code on Google's servers.

In this tutorial, we will start by explaining what WSL2 is and how to set it up on your Windows machine. Then, we will walk you through the process of installing Python, Keras, and TensorFlow using the command line.

We will also cover some important aspects of these tools and how they relate to deep learning, as well as some common issues that you might encounter during the installation process and how to troubleshoot them.

By the end of this tutorial, you will have all the tools you need to get started with deep learning using Python, Keras, and TensorFlow. So, whether you prefer to install these tools on your own computer or use a cloud-based platform like Google Colab, we have you covered.
Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-march-2023.ipynb

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Видео Install Tensorflow/Keras in WSL2 for Applications of Deep Neural Networks канала Jeff Heaton