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 ...

Abstract: Handwriting is a delicate human skill that can serve as a means of authenticating an author by reflecting unique behavioral traits. Document authentication as a practical application in the ...

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