Hi Zihaan,
I found this article about computer vision using Keras really interesting because it explained how computers learn to recognize things in images. It was cool to learn about Convolutional Neural Networks (CNNs) and how they've evolved from basic versions like LeNet to more advanced ones like AlexNet. The article also talked about how important it is to choose the right settings for these networks, which are called hyperparameters, and how using pre-existing networks through transfer learning can help in new projects.
As someone new to AI, I was intrigued by the use of specific datasets like CIFAR-10 for training these networks. It's not just about having a powerful computer but also about how you set it up and the data you use. This article really helped me understand the basics of computer vision and has made me more interested in exploring