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”

Lec 16 Architecture and Implementation of AlexNet | Baishali Garai