Workbooks of Introduction to Neural Networks and PyTorch Course
Key implementations:
🔹 Tensor operations and dataset transformations in PyTorch
🔹 Gradient descent, stochastic & mini-batch optimization
🔹 Linear and multiple linear regression models
🔹 Logistic regression with cross-entropy loss
🔹 Training/validation workflows and performance evaluation
Final projects:
✨ League of Legends Match Predictor (multi-class classification)
✨ Breast Cancer Classification (binary classification with neural networks)