- Predictive Modeling
- PyTorch (Machine Learning Library)
- Data Manipulation
- Deep Learning
- Regression Analysis
- Machine Learning
- Probability & Statistics
- Statistical Modeling
- Artificial Neural Networks
- Tensorflow
Introduction to Neural Networks and PyTorch
Completed by Thomas Dierickx
September 4, 2020
16 hours (approximately)
Thomas Dierickx'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
