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Deep Learning Syllabus
A comprehensive study of neural networks and modern deep learning, spanning foundations, CNNs, sequence models, transformers, generative models, and production frameworks.. The complete Deep Learning outline — 6 subjects, 28 chapters and 103 topics — laid out so you can see exactly what has to be covered and tick each item off as you go.
Deep Learning subjects
Each subject below has its own page with the full chapter → topic → sub-topic tree and a set of real exam-style flashcards.
5 chapters · 20 topics
Convolutional Neural Networks5 chapters · 20 topics
Sequence Models and Recurrent Networks4 chapters · 13 topics
Transformers and Attention5 chapters · 20 topics
Generative Deep Learning4 chapters · 11 topics
Frameworks and Production5 chapters · 19 topics
Deep Learning flashcard decks
308 question-and-answer cards across 6 decks, written against this syllabus. Preview any deck free.
How to work through the Deep Learning syllabus
The outline on this page is arranged the way the syllabus itself is: subject, then chapter, then topic, then sub-topic. That last level is what most study plans skip, and it is where coverage actually goes wrong — a chapter marked "done" often has three sub-topics inside it that were never touched.
Weight your plan accordingly: Foundations of Neural Networks carries 20 topics while Generative Deep Learning carries 11. Giving both the same number of weeks is the most common planning mistake for Deep Learning.
The ~75 hour estimate above is a first pass only: roughly 45 minutes per topic plus 12 minutes per sub-topic. Revision cycles, past papers and mocks sit on top of that number.
Deep Learning syllabus FAQ
What subjects are in the Deep Learning syllabus?
Deep Learning covers 6 subjects: Foundations of Neural Networks, Convolutional Neural Networks, Sequence Models and Recurrent Networks, Transformers and Attention, Generative Deep Learning and Frameworks and Production. Together they contain 28 chapters and 103 named topics.
How much do you have to study for Deep Learning?
The full Deep Learning outline breaks down into 28 chapters, 103 topics and 0 sub-topics. Foundations of Neural Networks is the largest single subject with 20 topics across 5 chapters.
How long does it take to cover the whole Deep Learning syllabus?
Roughly 75 hours for one full pass. That estimate allows about 45 minutes per topic plus 12 minutes per sub-topic, so it is first-pass coverage — revision, past papers and mock tests sit on top of it. At 3 hours a day that is about 4 weeks.
Are there Deep Learning flashcards?
Yes — 308 question-and-answer flashcards across 6 decks, one per subject, written against this syllabus. A sample of every deck is readable on this site for free, and the complete decks are in the Examius app.
Is this Deep Learning syllabus free to use?
Yes. Every page here is free to read, and importing the Deep Learning syllabus into the Examius app to tick off topics as you finish them is free too. No account is needed to start.
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