About this document
Neural Network Practice Lab Guide by Ngọc Minh is a document available to read on EtoBox.
Lab 3 focuses on practical exercises related to neural networks, including creating a binary classification model, implementing one-hot encoding, and calculating cross-entropy loss. The lab consists of eight questions that guide students through various tasks using PyTorch, such as accessing model parameters, computing gradients, and updating weights. Additionally, students are directed to a PyTorch tutorial for further guidance in Q9.
- Author
- Ngọc Minh
- Language
- EN