Role in this project:
Data Scientist Contributions:20 commits, 3 PRs, 18 pushes in 10 months
Contributions summary:Jingjing contributed exercises and example code for a neural network deep learning course, specifically focusing on exercises for linear regression, softmax regression, and CNNs. They implemented various basis functions, and optimized models using both least squares and gradient descent methods. The contributions involved building, training, and evaluating several neural network architectures. The user also worked on generating training data, and visualizing results.