Tensorflow is a popular open-source machine learning library developed by Google. It is known for its flexibility, scalability, and extensive support for deep learning algorithms. Keras is a high-level API built on top of Tensorflow that provides a user-friendly interface for building and training neural networks.
In this tutorial, I will guide you through the installation process of Tensorflow and Keras on your system in under one minute.
Step 1: Install Python
First, make sure you have Python installed on your system. You can download and install Python from the official website.
Step 2: Install Tensorflow
Next, open a terminal window and install Tensorflow using pip, a package manager for Python. You can do this by running the following command:
pip install tensorflowStep 3: Install Keras
Finally, install Keras using pip by running the following command:
pip install kerasThat’s it! You have successfully installed Tensorflow and Keras on your system. You can now start building and training neural networks using these powerful libraries.
I hope this tutorial was helpful. If you have any questions or run into any issues during the installation process, feel free to ask for help in the Tensorflow and Keras communities. Happy coding!
