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Neural Networks

14 connected concepts

Machine
Learning
CNN
RNN
Statistics
Optimization
Linear Algebra

Your knowledge. Connected.

From scattered sources to one study system.

Ask questions with context, trace answers to a source, then make the connection permanent.

Made for the way students really learn: across courses, formats, and long semesters.

The product story

Your notes were never meant to live in folders.

Every upload becomes a source in your map. Synapso surfaces the concepts, links the overlaps, and gives you a visual way back into what you learned weeks ago.

01

Nodes — Your sources and ideas

02

Connections — The understanding between them

03

Flow — Knowledge that grows over time

Sapp.synapso.ai

Neural Networks

14 connected concepts

Machine
Learning
CNN
RNN
Statistics
Optimization
Linear Algebra

Built for recall, not just storage

Capture it once. Keep finding your way back.

Bring every learning source in.

Upload lecture PDFs, slides, recordings, videos, and research without deciding where it belongs first.

PDFs & lecture slidesYouTube & podcastsLecture recordingsNotes & research

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Your map turns isolated facts into a navigable system — so “why does this matter?” is always one click away.

Turn the map into memory.

Generate flashcards from the concepts you need to own, then revisit them on a rhythm that respects your time.

Ask an AI tutor that shows its work.

Get an explanation grounded in the sources you uploaded, with citations that lead you right back to the lecture, page, or timestamp.

How does backpropagation relate to optimization?

It uses the gradient of the loss function to update a network’s weights during training.

Neural Networks — Lecture 06, p. 18

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Turn a dense topic into a clear visual path for your group. Share a focused map before a revision session, project meeting, or final exam.

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Revision map · shared with 4 classmates

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