--- title: Lec 01. Introduction to Deep Learning | daily.dev description: This introductory lecture covers the fundamentals of deep learning, including neural network architectures built from linear transformations and... canonical: https://daily.dev/posts/lec-01-introduction-to-deep-learning-5u4g07hcu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Lec 01. Introduction to Deep Learning | daily.dev og:description: This introductory lecture covers the fundamentals of deep learning, including neural network architectures built from linear transformations and... og:url: https://daily.dev/posts/lec-01-introduction-to-deep-learning-5u4g07hcu og:image: https://api.daily.dev/og/posts/5U4G07HCu.png og:image:alt: Lec 01. Introduction to Deep Learning og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Lec 01. Introduction to Deep Learning **[YouTube](https://daily.dev/sources/youtube)** · 60 min read · 0 upvotes · 0 comments ## Summary This introductory lecture covers the fundamentals of deep learning, including neural network architectures built from linear transformations and nonlinearities, differential programming paradigms using gradient-based optimization, and the historical evolution of the field from perceptrons to modern large-scale models. The course emphasizes both theoretical foundations and practical implementation through problem sets and a research-focused blog post project, exploring topics like approximation theory, various architectures (CNNs, transformers, GNNs), generalization theory, representation learning, and generative models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [CNNs, RNNs, and Transformers Explained: A Mental Model for Key Deep Learning Concepts](https://daily.dev/posts/cnns-rnns-and-transformers-explained-a-mental-model-for-key-deep-learning-concepts-pxbxlxvct) · freeCodeCamp · 3 upvotes · 0 comments - [PyTorch Tutorial for Deep Learning](https://daily.dev/posts/pytorch-tutorial-for-deep-learning-hxdgznfc2) · JetBrains · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/lec-01-introduction-to-deep-learning-5u4g07hcu) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Lec 01. 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