EC ENGR C147B
Neural Networks and Deep Learning II
Lecture and discussion.
Winter 2027: 1 lecture and 2 discussions. All of them are open. The oldest of these readings was 4 hours ago.
Grades
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Reported assignments across instructors and terms. This term's syllabus may differ.
No reviews were listed in the BruinWalk source checked 2 hours ago. Assignment details are unknown. Check the current syllabus.
What comes first
dibs has no class page for EC ENGR C147B, in any term it holds, that it can state prerequisites from, so it cannot say what comes before it. A page read while a class still reads Tentative does not count.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, four hours; discussion, one hour; outside study, seven hours. Requisite: course C147A. Covers topics in deep learning including deep generative modeling, transformers, and deep reinforcement learning. Concurrently scheduled with course C247B. Letter grading.
Sections in Winter 2027
Choose an open discussion to enroll; an open lecture alone does not mean a seat is available.
Seat counts as of : the oldest of these 3 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Seats
Open95 seats left in discussions.
Lecture: 0 of 95 enrolled
Seat risk
low risk
From the people who took it
Student reviews
What taking EC ENGR C147B was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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Seats over time in Winter 2027
How each lecture has filled since dibs first saw it.
A dot is a reading where something moved: the seat count, the status, or the waitlist.
What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 1 · Diggavi, S.N. · 0 of 95 enrolled
Nothing read since 20 Oct, 4 hours ago. Over less than a minute before that, unchanged.
Both readings say 0 of 95.
How readings and alerts work
Dated seat counts can be available even when hourly check history is missing. Gaps do not show whether seats changed between observations.
Seat counts show the last successful read, not live availability. Refreshes can be delayed by request limits or upstream interruptions. Watched sections receive priority, but an hourly update for every section is not guaranteed.
The registrar can change a seat count between our checks. Alerts depend on dibs detecting an opening and completing delivery; a quiet watch does not prove that no seat opened. Check the registrar before enrolling.