- Artificial Neural Networks
- Machine Learning Methods
- Classification Algorithms
- Logistic Regression
- Data Preprocessing
- Tensorflow
- Model Evaluation
- Probability & Statistics
- PyTorch (Machine Learning Library)
- Deep Learning
- Regression Analysis
- Predictive Modeling
Introduction to Neural Networks and PyTorch
Completed by Lennart Jonas Hoheisel
March 11, 2021
18 hours (approximately)
Lennart Jonas Hoheisel'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
