A review of the top 10 influential machine learning research papers from 2022, including ConvNeXt and MaxViT, highlighting key advancements in AI.
A review of the top 10 most influential machine learning papers from 2022, including ConvNeXt and MaxViT, with technical analysis.
A technical tutorial explaining the fundamentals of Convolutional Neural Networks (CNNs) by manually calculating layers from the classic LeNet-5 architecture.
Explores the visual similarities between images generated by neural networks and human experiences in dreams or under psychedelics.
Building a Mortal Kombat controller using TensorFlow.js, CNNs, and transfer learning for posture classification from a webcam feed.
Explores classic CNN architectures for image classification, including AlexNet, VGG, and ResNet, as foundational models for object detection.
Summarizes nine key deep learning papers that advanced convolutional neural networks (CNNs) and computer vision over five years.
Explains stride and padding parameters in Convolutional Neural Networks (CNNs), building on Part 1 of the beginner's guide.
