Neural Nets Inference
Neural Nets Inference
This lecture covers concepts associated with neural nets, including rotation and squashing, and is a part of the Deep Learning Course at New York University's Center for Data Science (CDS).
Topics covered in this lesson
- Affine transfromations and non-linearities
- Jupyter and PyTorch
- Rectifying linear unit (ReLU)
Prerequisites
Back to the course