- Artificial Neural Networks
- Deep Learning
- PyTorch (Machine Learning Library)
- TensorFlow
- Data Manipulation
- Predictive Modeling
- Regression Analysis
- Probability & Statistics
- Statistical Modeling
- Machine Learning
Introduction to Neural Networks and PyTorch
Completed by Sean Dickerson Springer
June 3, 2020
16 hours (approximately)
Sean Dickerson Springer'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
