It provides a flexible platform for building and training deep learning models. It’s known for its scalability and performance. Keras is a high-level neural networks API written in Python.

In my previous article, we explored how artificial intelligence and machine learning help Company Z, our online retail example, to predict customer behaviour, segment audiences and optimise ...

The Python project 'DNNGP' can be used to implement genome-wide prediction (GP), which ... lr: Set this to 1, or any value you think is appropriate based on your understanding of deep learning. The ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Face recognition technology has advanced significantly in recent years, largely due to the development of neural networks and deep learning techniques. This area of research focuses on enabling ...

Graph Neural Networks ... and biological network modeling. Recent research has focused on enhancing the capabilities of GNNs through innovative architectures, self-supervised learning approaches ...

This framework effectively represents relationships among DTs using temporal heterogeneous graphs and generates flexible and scalable schedules by incorporating temporal graph neural networks and deep ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor ...