Image Classification in Machine Learning [Intro Tutorial]

Image Classification with Deep Learning

7 Popular Image Classification Models in ImageNet Challenge (ILSVRC) Competition History - MLK - Machine Learning Knowledge

Banias | AI Engineer on Instagram: "Naive chunking destroys context. Here’s how to fix it. 👇 1️⃣ Use Contextual Chunk Headers 👉 Prepend each chunk with document metadata and section headers. A chunk from “Chapter 5: Security” should include that context, not just raw text. 2️⃣ Implement Sliding Windows 👉 Create overlapping chunks (overlap 10-20% of tokens) so context doesn’t break at arbitrary boundaries. This prevents losing information split across chunk borders. 3️⃣ Hierarchical Chunking �

Adam Karcz on Instagram: "Here’s why 👇🏼 The brain doesn’t evaluate status based on objects or production quality. It evaluates contextual consistency. Every image is subconsciously filtered through one question: “Does this level of attention belong here?” When professional cameras appear in environments where they’re expected — stages, closed events, private venues, high-visibility rooms — they signal social demand. Demand = relevance. Relevance = status. But place the same camer