GitHub

PushkarVishwakarma01/Handwritten-Digit-Classification-using-CNN-on-MNIST-Dataset

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

kjc59wvbtg-star/OptimusAutomate_ImageClassification

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
IEEE

Photonic Convolutional Neural Networks Using Integrated Diffractive Optics

Abstract: With recent rapid advances in photonic integrated circuits, it has been demonstrated that programmable photonic chips can be used to implement artificial neural networks. Convolutional ...
LinkedIn

"25 Most Popular Open ML Datasets"

- MultiNLI Natural language inference dataset covering multiple genres. - 20 Newsgroups Classic text classification dataset with labeled posts from 20 categories. - Yelp Reviews Dataset Text and star ...
LinkedIn

Build a basic CNN Computer Vision model with Pytorch.

Computer vision is the art of teaching a computer to see. For example, it could involve building a model to classify whether a photo is of a cat or a dog (binary classification). Or whether a photo is ...
IEEE

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks

Abstract: Deep learning has revolutionized computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures and Deep Neural Networks (DNNs) ...
Frontiers

Data-centric review of multimodal emotion recognition: datasets, feature extraction, data ...

These comprise approaches for domain adaptability and adversarial learning. This classification illustrates how consistency is preserved in advanced MER models even using limited datasets. This review ...