Beyond Keras, other libraries contribute to the popularity and efficacy of Python, including many outside the realm of artifical intelligence.

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Having prior worked with the Keras package, we first run the models and then add the layers to make the comparison on the results - to the first one, a simple dense layer, whereas to the second - ...

Discover the top programming languages for AI in 2023. Python leads the pack, offering extensive libraries, simplicity, and cross-platform support.

As AI grows and becomes part of every day life so does the need to upskill in AI Programming Languages. This article compares Java and Python.

Python is the widely adapted language of AI and ML, mainly due to its simplicity and numerous libraries like TensorFlow, Keras, and Scikit-learn. In 2025, we will continue to observe accelerated ...

This is the code repository for Python Parallel Programming Solutions [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to ...

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.