This paper reviews and synthesizes the latest advancements in CNN architectures and training techniques, analyzes their performance across key
Face detection, face pose estimation, face alignment, gender recognition, smile detection, age estimation, and face recognition using a deep convolutional
Batch Normalization(Batch Norm): This technique is used to speed up the training of very deep neural networks. Other specific notable
This article explores recent developments in deep learning techniques applied to medical imaging, including convolutional neural networks (CNNs) for
This article delves deep into the advancements in image classification using neural networks, exploring how neural networks have achieved success in solving
Convolutional Neural Networks (CNNs) is one of the most commonly used techniques for image recognition. · Another popular technique for image recognition is
Deep Learning: Emerging Trends, Applications and Research Challenges for Image Recognition. Submission Deadline: 30 November 2025 (closed)
Techniques like dropout and data augmentation (rotating, flipping images) prevent overfitting, ensuring the model generalizes well to unseen data. In