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Faculty of Arts & Science · St. George

CSC413H1

Neural Networks and Deep Learning

Other courses coded CSC413 →

Prerequisite2 routes by faculty
Total contact hours24 lecture · 12 tutorial
Evidence1 term

What was the average?

A-

3.7 GPA across 1 observed term. Most recent: Winter 2022.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

Low

A small number of terms, so read it as a range. The most recent observation is several years old.

From the calendar

Official source · Faculty of Arts & Science

An introduction to neural networks and deep learning. Backpropagation and automatic differentiation. Architectures: convolutional networks and recurrent neural networks. Methods for improving optimization and generalization. Neural networks for unsupervised and reinforcement learning.

Exclusions
CSC321H5CSC413H5
Contact hours
24 lecture · 12 tutorial
Total scheduled hours for the course, not per week.

If you are a Faculty of Arts & Science student

One option from each line

CSC311H1, CSC311H5, CSCC11H3, or STA314H1

MAT235H1, MAT235Y1, MAT237Y1, MAT257Y1, MAT257Y5, MAT232H5, MAT233H5, or MATB41H3

MAT223H1, MAT240H1, MAT223H5, or MATA23H3

If you are a Faculty of Applied Science and Engineering student

One option from each line

ECE421H1, or ROB313H1

MAT291H1, MAT294H1, AER210H1, or MIE230H1

MAT185H1, or MAT188H1

These are alternative routes, not a combined list. Satisfying one of them is enough — the calendar states a different prerequisite depending on which faculty you are registered in.

What people actually got

Last observed Winter 2022
A-

3.7 GPA

1 term observed

n = 1student contributedSt. George offerings only

This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.

The newest observation is from Winter 2022. Instructors, weighting and exam format may all have changed since — treat this as history, not a forecast.

This rests on 1 reported term. It is shown because hiding it would not make it less true, but one or two results are a datapoint, not a distribution — a single unusual cohort moves this number a long way.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.
A current averageThe newest verified observation is from Winter 2022. Later terms have no confirmed result yet.
Per-term breakdownHeld back deliberately. Splitting 1 observations across terms would be false precision.
Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.
Archive coveragePyko holds no past paper for this course. We do not host or distribute course files in any case; the archive is what lets these pages describe how a course is assessed.

Source ledger

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Sources behind every claim on this page
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursFaculty of Arts & Science2026-07-25public fact
Historical average across 1 termStudent contributions, consented2026-07-25user contributed aggregate

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

Around this course

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CSC413H1 average — UofT | Pyko