- Machine Learning
- Artificial Neural Networks
- Statistical Modeling
- Regression Analysis
- Deep Learning
- Data Manipulation
- PyTorch (Machine Learning Library)
- Probability & Statistics
- Predictive Modeling
- Tensorflow
Introduction to Neural Networks and PyTorch
Completed by TAMAM JERBI
July 18, 2021
16 hours (approximately)
TAMAM JERBI'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
