SkillData ScientistAI/ML Engineer
Library · concept
Deep learning
Build and train neural networks in PyTorch, and know when they beat simpler models. Named in 68% of AI/ML Engineer postings, with PyTorch in 72%.
Deep learning powers computer vision, speech and language models. This shelf teaches the mechanics in PyTorch, the framework most requested in the AI/ML job descriptions we read (TensorFlow ideas transfer directly).
Everything runs on a laptop CPU in under a minute, using the UCI handwritten digits dataset that ships with scikit-learn.
Beginner lessons for Deep learning are being written.