- Statistical Modeling
- Artificial Neural Networks
- Probability & Statistics
- PyTorch (Machine Learning Library)
- Predictive Modeling
- Tensorflow
- Data Manipulation
- Deep Learning
- Regression Analysis
- Machine Learning
Introduction to Neural Networks and PyTorch
Completed by Oswaldo Limbert Zárate Condori
August 22, 2021
16 hours (approximately)
Oswaldo Limbert Zárate Condori'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
