Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...

MoleditPy is a cross-platform, intuitive molecular editor built in Python. It provides a seamless workflow for drawing 2D molecular structures, visualizing them in 3D, and performing interactive ...

I'll be honest - when everyone started talking about making money with ChatGPT, my first thought was pure skepticism. It ...

Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...

In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time series ...