- Tensorflow
- Data Preprocessing
- Probability & Statistics
- Logistic Regression
- Deep Learning
- Predictive Modeling
- Classification Algorithms
- Regression Analysis
- Artificial Neural Networks
- Machine Learning Methods
- Model Evaluation
- PyTorch (Machine Learning Library)
Introduction to Neural Networks and PyTorch
Completed by Ilya Dementyev
September 21, 2024
18 hours (approximately)
Ilya Dementyev'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
