AUSTIN2526/learn-AI-in-30-days-book-version
ChatGPT X Keras X PyTorch 全方位應用實踐指南:從零開始的 AI 程式設計養成之路。2022年iThome鐵人賽「新手也能懂得AI-深入淺出的AI課程」的書籍版本,本書將會使用更乾淨的程式碼與更詳細的內容來帶你學會人工智慧的技術
This book helps aspiring AI practitioners learn how to build AI applications from scratch, even without prior programming knowledge. It takes you through a journey from basic Python and web scraping to implementing deep learning models like image recognition, stock trend prediction, and text summarization. The target audience is anyone interested in developing practical AI skills for image and text-based problems.
No commits in the last 6 months.
Use this if you are a beginner with no programming background and want to learn how to build real-world AI applications using popular frameworks like Keras and PyTorch.
Not ideal if you are an experienced AI developer looking for advanced research topics or highly specialized techniques.
Stars
24
Forks
8
Language
—
License
—
Category
Last pushed
Mar 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AUSTIN2526/learn-AI-in-30-days-book-version"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools)....
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in...
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia,...
harleyszhang/cv_note
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/