Curiosity · Course availability
Does GGSIPU have a course in Recurrent Neural Networks?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Recurrent Neural Networks inside B.Tech CSE (AI & ML). Recurrent neural networks carry a hidden state across a sequence so earlier inputs influence later outputs; LSTM and GRU cells add gating so that signal survives long spans. They were the dominant sequence architecture before attention replaced them. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Recurrent Neural Networks
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
How VSET teaches Recurrent Neural Networks
Recurrent neural networks carry a hidden state across a sequence so earlier inputs influence later outputs; LSTM and GRU cells add gating so that signal survives long spans. They were the dominant sequence architecture before attention replaced them. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- RNNs, LSTMs and GRUs are part of the deep learning and NLP material published at learn.engineering.vips.edu.
- The curriculum teaches them as the direct precursor to attention and transformer architecture, which it also covers.
- Their failure modes — vanishing gradients over long sequences — are the motivation the transformer content builds on.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Does GGSIPU have a course in Recurrent Neural Networks?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Recurrent Neural Networks inside B.Tech CSE (AI & ML).
Are RNNs still taught now that transformers dominate?
Yes. The published curriculum covers both, and the transformer material makes far more sense once the sequential bottleneck RNNs suffer from is understood.
Where are RNNs still the right choice?
Small, strictly sequential and latency-sensitive problems, including on-device and time-series work — which links to the IoT track's sensor-stream context.
Which programme covers this?
The B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31