{"slug": "theories-of-deep-learning", "title": "Theories of Deep Learning", "summary": "A developer explores theoretical foundations of deep learning, discussing key concepts such as optimization, generalization, and representation learning. The article examines how mathematical frameworks explain the empirical success of deep neural networks.", "body_md": "Article URL: \nhttps://astledsa.substack.com/p/theories-of-deep-learning\n\nComments URL: \nhttps://news.ycombinator.com/item?id=48873919\n\nPoints: 1\n\n# Comments: 0", "url": "https://wpnews.pro/news/theories-of-deep-learning", "canonical_source": "https://astledsa.substack.com/p/theories-of-deep-learning", "published_at": "2026-07-11 17:31:24+00:00", "updated_at": "2026-07-11 17:34:53.367320+00:00", "lang": "en", "topics": ["machine-learning", "neural-networks"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/theories-of-deep-learning", "markdown": "https://wpnews.pro/news/theories-of-deep-learning.md", "text": "https://wpnews.pro/news/theories-of-deep-learning.txt", "jsonld": "https://wpnews.pro/news/theories-of-deep-learning.jsonld"}}