#computer vision beginner guide
53 related articles
·3 min
Career Switch to AI Engineer Without a CS Degree: A Self-Study Roadmap from Scratch
A real case study of an agriculture student breaking into AI: how to start with CS50 and systematically master Python, machine learning, and MLOps skills, with a three-phase transition plan for self-learners.
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·5 min
Advanced Machine Learning Reading List: How to Choose the Right Book Among These 4 Classics?
Torn between Géron, Chollet, and Raschka? This article breaks down 4 classic ML books for self-learners aiming at finetuning and small language models (SLM), helping you find the best advanced path.
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·8 min
GPT-5.6 Hands-On: Farm Automation, Mathematical Breakthroughs, and End-to-End AI Execution
GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.
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·3 min
A Beginner's Guide to Affective Computing: Learning Paths, Datasets, and Technical Challenges
A complete guide to getting started with Affective Computing: from deep learning foundations and classic papers to hands-on practice with FER2013 and IEMOCAP datasets, covering multimodal fusion, emotion recognition challenges, and real-world applications.
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·7 min
21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.
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·3 min
The 7-Level Claude Code Mastery Guide: From Basic Chat to Autonomous AI Agents
From chat to autonomous agents: a 7-level Claude Code mastery guide covering model selection, effective prompting, tool integration, sub-agents, skills, safety, and autonomous operation.
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·4 min
AI Learns to Speak Plant: How Smart Gardening Lets Plants Talk to Us
Plants speak through wilting, yellowing, and spots. This article explores how AI uses computer vision, sensor fusion, and LLMs to translate plant signals into human language, making smart gardening a reality.
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·7 min
The Complete Codex Guide: From Installation to Real-World Practice
Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.
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·6 min
From Vibe Coding to AI Engineering: A Complete Practical Guide to Codex and Claude Code
An in-depth analysis of the practical use of Codex and Claude Code, comparing Vibe Coding and AI engineering, covering Super Power plugins, Spec-Driven Development, and Chinese LLM integration strategies.
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·3 min
LLM Development Learning Path: From Zero to Enterprise-Level Projects
A complete LLM development learning roadmap covering prompt engineering, RAG, AI Agents, and fine-tuning — helping beginners master LangChain, LlamaIndex, and more.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·4 min
Dify Local Deployment Tutorial: Build Your AI Application Development Platform from Scratch
Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.
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·3 min
Ideogram 4 Fully Automated Workflow: Run Locally with Just 8GB VRAM, No Complex Prompts Needed
Ideogram 4 automated ComfyUI workflow using Qwen2.5 VL-8B: run locally with 8GB VRAM, auto-generate structured JSON prompts from simple descriptions, with image reverse-engineering support.
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·3 min
Karpathy's Advanced Claude Code Methodology: Building a Self-Evolving AI Work Environment
Karpathy's Claude Code methodology: build a self-evolving AI environment using CLAUDE.md, knowledge bases, Skills, and Hook guardrails for compounding efficiency.
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·4 min
HAMAS Multi-Agent Framework in Practice: A Guide to Building 5 AI Personas Working in Harmony
Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.
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·3 min
PyTorch Image Classification in Practice: Complete Pipeline from Data Preprocessing to Model Training
A PyTorch flower classification project covering the full image classification pipeline: data preprocessing, transforms augmentation, ResNet pretrained models, and Resize strategies with reusable template code.
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·4 min
Claude Code Beginner's Guide: From Installation to Real-World Development
Step-by-step guide to installing Claude Code, connecting domestic LLMs like Qwen, DeepSeek, and Xiaomi MiMo via CC Switch, with hands-on demos of batch file processing and e-commerce site development.
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·4 min
AI Summoning Power: Insights and Practices from Zero-Code Game Development with AI
A creator with no coding experience built a complete game using only AI prompts. Explore AI summoning power, zero-code development, and what it means for PMs, developers, and everyone.
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·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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·2 min
Doubao + Cursor in Practice: AI-Powered Web Scraper Development in One Minute — Full Workflow
Full workflow for using Doubao to generate prompts and Cursor to auto-generate web scraper code. Covers AI chain collaboration, full-stack code generation, and auto-documentation.
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