Alexnet PCN16

AlexNet, a foundational convolutional neural network, has spurred significant advancements in various fields, particularly image analysis. Current research explores adapting and improving AlexNet's architecture, such as through Point Cloud Networks (PCNs) to reduce computational complexity while maintaining accuracy, and applying it to diverse tasks including medical image classification, object detection in challenging conditions, and even novel applications like predicting fetal birth weight from ultrasound videos. These efforts highlight the ongoing relevance of AlexNet as a basis for developing efficient and effective deep learning models across a range of applications, demonstrating its enduring impact on computer vision and beyond.