- Logistic Regression
- Classification Algorithms
- Predictive Modeling
- Machine Learning Methods
- Model Evaluation
- Tensorflow
- PyTorch (Machine Learning Library)
- Probability & Statistics
- Regression Analysis
- Artificial Neural Networks
- Deep Learning
- Data Preprocessing
Introduction to Neural Networks and PyTorch
Completed by Adrián Jiménez Benítez
February 20, 2025
18 hours (approximately)
Adrián Jiménez Benítez'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
