I am new to deep learning and want to understand CNNs from scratch. Can someone explain: 1. What makes convolution different from fully connected layers? 2. How does backpropagation work through conv
I am building a chest X-ray abnormality classification system for a hospital project. Currently comparing: - ResNet-50 (pretrained on ImageNet) - DenseNet-121 (pretrained on CheXNet) - EfficientNet-B
The contradiction between the supply and demand of water resources is becoming increasingly prominent, whose main reason is the eutrophication of rivers and lakes. However, limited and inaccurate dat
This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs)
With the acceleration of industrialization and urbanization, most lakes and reservoirs have been in eutrophication state. Eutrophication of water body will produce a series of environmental problems,
An early brain tumor diagnosis is crucial for effective and proactive treatment, which improves the patient’s survival rate. In this paper, we propose a novel Deep Convolutional Neural Network for Br
