CORE-203
PyTorch in practice
- Area
- COREShared trunk
- Level
- 200Intermediate
- Designed workload
- 6 h
- Status
- Syllabus published
A design budget, set per level in the curriculum registry. Not a measurement: no module has been recorded.
Syllabus
- Content
- Tensors, autograd, training loops, GPU
- Hands-on
- Rewrite the CORE-202 network in PyTorch
Where this module appears
Listed in 2 of the 10 programmes and in 3 of the 5 tracks. It is always the same object: opening CORE-203 from any of them lands here, with this syllabus and this status.
Tracks
- Deep Learning200reused
- Computer Vision200reused
- NLP & LLMs200reused
“own” is the track the module belongs to; “reused” is a track that pulls it in from elsewhere in the curriculum. Both point at this same object.