CNN + MLP Model for Image + Numeric Data Comments: The following Python code is a hybrid CNN + MLP architecture for combined image data + numeric features (meta-data) which further describe the images ...

CIFAR-10 Prediction In Keras 'keras_cifar10_prediction.ipynb' predict a webcam photo by a neaural network that is trained by CIFAR-10 datas. 'keras_cifar10_prediction.ipynb' visualizes CIFAR-10 image ...

Google's AI researchers are teaching AI how to determine whether an image is aesthetically pleasing or not.

AI model uses retinal scans to predict Alzheimer's disease Study shows potential for a new, accessible way to diagnose the neurological disease Date: November 30, 2020 Source: Duke University ...

Apple’s big Siri upgrade still doesn’t have a launch date. Why AI can be hard to predict ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

They created a database of over 20,000 rice field images and developed a convolutional neural network (CNN) model to predict the yield.

A form of artificial intelligence designed to interpret a combination of retinal images was able to successfully identify a group of patients who were known to have Alzheimer's disease, suggesting ...