AI • Machine Learning • Tech on Instagram: "AlexNet, introduced by Alex Krizhevsky and colleagues in 2012, was one of the first deep convolutional neural networks (CNNs) to achieve breakthrough performance on large-scale image recognition tasks, such as the ImageNet competition. To prevent overfitting—a common problem where a model learns training data too specifically and performs poorly on new data—AlexNet used several key techniques. One major method was dropout, which randomly “turns off” so

Insightforge | AI & Data Science on Instagram: "AlexNet, developed by Alex Krizhevsky and team in 2012, marked a major breakthrough in deep learning by delivering state-of-the-art results on large-scale image classification benchmarks like the ImageNet competition. To tackle overfitting - where a model memorizes training data instead of learning general patterns - AlexNet introduced several innovative techniques. One of the most impactful was dropout, which randomly disables a portion of neurons