UC_BERKELEY · COMPSCI · COURSE SHEET
COMPSCI 282A4 creditsSee offeringsHas prerequisites
Designing, Visualizing and Understanding Deep Neural Networks
CT Score
1500
#0 of 0 in COMPSCI
Difficulty
8/10
Workload
—h/wk
Median grade
A
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys13.9%
35.4%
10.5%
7.7%
8.1%
1%
1%
1%
0.5%
0.5%
0.5%
20.1%
A+
A
A-
B+
B
B-
C
D+
D
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
GR
Gireeja Ranade
6 community ratings
10
——AS
Anant Sahai
6 community ratings
10
——Sections
No section data for this term yet.
In the tree
MATH 53 and MATH 54 or equivalent; COMPSCI 70 or STAT 134; COMPSCI 61B or equivalent AND COMPSCI 189 or COMPSCI 289A (recommended)→COMPSCI 282A→unlocks 0 courses
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Study groups
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