A Turkish map for the deep-learning wilderness

What it does

The Deep Learning Turkey community maintains this repository as a curated directory of machine-learning and deep-learning work produced in Turkish. The README links to blog posts, video lectures, scientific papers, code, datasets, slide decks, and books, sorted into sections like basic concepts, algorithms, frameworks, and applied domains.

The interesting bit

It functions as a de facto syllabus assembled by volunteers. Instead of scattered Medium posts and university PDFs, you get one index that covers everything from perceptron theory and LSTM guides to YOLO object-detection tutorials and Turkish sentiment-analysis examples.

Key highlights

• Covers the full learner arc: Python programming, math fundamentals, neural-network theory, and advanced architectures like CNNs, GANs, and capsule networks.
• Applied sections include NLP, computer vision, cybersecurity, and even hardware/cloud setup guides.
• Resources span multiple formats: blog posts, Udemy courses, academic posters, Kaggle competitions, and mobile applications.
• Community-driven: new submissions are accepted via a Google Form and a contributing.md guide.

Verdict

Turkish-speaking students and developers looking for an AI entry point in their own language should bookmark this. Everyone else will find the content inaccessible.