Tag: #image-classification
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts
ResNet Paper In-Depth Analysis: How Residual Connections Broke the Depth Barrier in Deep Learning
An in-depth analysis of Microsoft Research ResNet paper. We cover the discovery of the degradation problem, the mathematical principles behind skip connections, bottleneck architecture, and the ImageNet ILSVRC 2015 winni
2026-03-01 · 29 min read #resnet#residual-learning#cnn#computer-vision#image-classificationVision Transformer (ViT) Paper In-Depth Analysis: An Image is Worth 16x16 Words
An in-depth analysis of Google ViT paper. We cover the innovative approach of converting images into patch sequences, the principles behind Patch Embedding and Position Embedding, the performance vs. data efficiency trad
2026-03-01 · 30 min read #vit#vision-transformer#computer-vision#transformer#image-classification