- Logistic Regression
- PyTorch (Machine Learning Library)
- Gradient Descent
- Linear Regression
- TensorFlow
Introduction to Neural Networks and PyTorch
Completed by PIYAWASIN PIKROR-NGARN
May 15, 2024
17 hours (approximately)
PIYAWASIN PIKROR-NGARN's account is verified. Coursera certifies their successful completion of Introduction to Neural Networks and PyTorch
What you will learn
Job-ready PyTorch skills employers need in just 6 weeks
How to implement and train linear regression models from scratch using PyTorch’s functionalities
Key concepts of logistic regression and how to apply them to classification problems
How to handle data and train models using gradient descent for optimizationÂ
Skills you will gain
