II.
SkillArea overview
Reference · liveskill-area:deep-learning-libraries
Deep Learning Libraries and Services overview
Building with deep-learning stacks - architectures, training routines, accelerator usage, model checkpoints, and production-facing packaging.
Attributes
displayName
Deep Learning Libraries and Services
description
Building with deep-learning stacks - architectures, training routines,
accelerator usage, model checkpoints, and production-facing packaging.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:data-science·DomainData Science
- domain:ml-ops·DomainMLOps
requires_skill_area1
- skill-area:machine-learning-frameworks·SkillAreaMachine Learning Frameworks
Incoming edges
lib_requires_skill_area3
- lib-agent:data-science-ml--distributed-training-engineer·LibraryAgentdistributed-training-engineer
- lib-skill:data-science-ml--pytorch-trainer·LibrarySkillpytorch-trainer
- lib-skill:data-science-ml--tensorflow-trainer·LibrarySkilltensorflow-trainer
prerequisite_for_learning1
- skill-area:machine-learning·SkillAreaMachine Learning
requires_expertise3
- role:applied-scientist·RoleApplied Scientist
- role:computer-vision-engineer·RoleComputer Vision Engineer
- role:ai-researcher·RoleAI Researcher
requires_skill_area2
- stack-profile:llm-fine-tuning·StackProfileLLM Fine-Tuning Stack (PyTorch, HuggingFace, PEFT/LoRA, W&B, vLLM)
- stack-profile:synthetic-data-generation·StackProfileSynthetic Data Generation Stack (Python, PyTorch, FastAPI, PostgreSQL, S3)