Beebom

What is Deep Learning in AI? Understanding How AI Really Works

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

What is CNN in Deep Learning? The AI Behind Computer Vision

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

IISc Bangalore Invites Applications For Free Deep Learning, AI Course, Details Here

IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is offering a free online course on Deep Learning, and registrations are ...
GitHub

deep-learning-project

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...
IEEE

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Frontiers

Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention

The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
Scientific Research Publishing

Papoutsis, I., Bountos, N.I., Zavras, A., Michail, D. and Tryfonopoulos, C. (2021) Benchmarking and Scaling of Deep Learning Models for Land Cover Image Classification. ISPRS ...

ABSTRACT: Cancer, in general, and skin cancer, in particular, is a genetic disease caused by cell division malfunction. It represents a major public health problem due to the large number of deaths ...
IEEE

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset

Abstract: Multitask learning is a widely recognized technique in the field of computer vision and deep learning domain. However, it is still a research question in remote sensing, particularly for ...