- Data Preprocessing
- Artificial Neural Networks
- Probability & Statistics
- Logistic Regression
- PyTorch (Machine Learning Library)
- Model Evaluation
- Machine Learning Methods
- Predictive Modeling
- Deep Learning
- Regression Analysis
- Tensorflow
- Classification Algorithms
Introduction to Neural Networks and PyTorch
Completed by Jihoon Lim
April 9, 2021
18 hours (approximately)
Jihoon Lim'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
