What is Keras?

Keras is an open-source neural network library written in Python. It was developed with the aim of enabling rapid experimentation with deep neural networks. It focuses on being user-friendly, modular, and extensible.

Overview of Keras

Keras is a high-level neural networks API that runs on top of TensorFlow, Theano, or CNTK. It was developed with a focus on enabling fast experimentation and prototyping through high-level functionalities.

Here are the key features of Keras:

Why Use Keras?

Choosing the right framework for developing machine learninglearning models can be a daunting task. Here are a few reasons why you might want to consider Keras:

Getting Started with Keras

To get started with Keras, you will first need to install it. You can install Keras using pip:

pip install keras

Once Keras is installed, you can verify the installation by trying to import it in your Python environment:

import keras

If Keras has been installed and imported correctly, you should not get any errors.

Conclusion

In conclusion, Keras is a powerful library for developing and experimenting with neural networks. It is user-friendly, extensible, and works well with multiple back-end engines. Whether you are a beginner just starting out with neural networks or an experienced developer looking for a high-level API, Keras is a great choice.