AlexNet (2012) Framework: TensorFlow Dataset: Cats-Dogs (https://www.kaggle.com/datasets/chetankv/dogs-cats-images) Paper Link: https://paperswithcode.com/model/alexnet AlexNet has the same concept as the LeNet5, but there are a lot of extra convs. They used ReLU for the activation function and uses MaxPooling for downsampling Here we are working with images of 224x224 which is much high compared to 32x32 of the LeNet5. Dropout layer and Data Augmentation to avoid overfitting Local Response Normalization (similar to Batch Normalization, today) to speed up the training time Weight Regularization (L2) to avoid overfitting
