- Predictive Modeling
- Classification Algorithms
- Probability & Statistics
- Machine Learning Methods
- Data Preprocessing
- Artificial Neural Networks
- Deep Learning
- Regression Analysis
- Tensorflow
- PyTorch (Machine Learning Library)
- Logistic Regression
- Model Evaluation
Introduction to Neural Networks and PyTorch
Completed by Ahmed OUDAA
December 1, 2020
18 hours (approximately)
Ahmed OUDAA'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
