UC_BERKELEY · DATA · COURSE SHEET
DATA C1824 creditsSee offeringsHas prerequisites
Designing, Visualizing and Understanding Deep Neural Networks
CT Score
1500
#0 of 0 in DATA
Difficulty
8.3/10
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 surveys7.9%
46%
13%
13.9%
5.1%
1.9%
2.3%
0.5%
0.5%
3.7%
5.1%
A+
A
A-
B+
B
B-
C+
D+
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
GR
Gireeja Ranade
6 community ratings
10
——EK
Eric Kim
1 community ratings
6
——AS
Anant Sahai
6 community ratings
10
——NA
Naveen Ashish
1 community ratings
6
——Sections
No section data for this term yet.
In the tree
MATH 53, MATH 54, and COMPSCI 61B; COMPSCI 70 or STAT 134; COMPSCI 189 is recommended.→DATA C182→unlocks 0 courses
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Study groups
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