- Model Evaluation
- Probability & Statistics
- Tensorflow
- Regression Analysis
- PyTorch (Machine Learning Library)
- Classification Algorithms
- Data Preprocessing
- Logistic Regression
- Artificial Neural Networks
- Machine Learning Methods
- Deep Learning
- Predictive Modeling
Introduction to Neural Networks and PyTorch
Completed by Yizhi Hu
March 19, 2023
18 hours (approximately)
Yizhi Hu'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 optimization
Skills you will gain
