- Model Evaluation
- Regression Analysis
- Logistic Regression
- Probability & Statistics
- Artificial Neural Networks
- Machine Learning Methods
- Data Preprocessing
- PyTorch (Machine Learning Library)
- Predictive Modeling
- Deep Learning
- Classification Algorithms
- Tensorflow
Introduction to Neural Networks and PyTorch
Completed by Patrick Fitzsimons
February 21, 2025
18 hours (approximately)
Patrick Fitzsimons'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
