- Artificial Neural Networks
- Predictive Modeling
- Machine Learning Methods
- Deep Learning
- Classification Algorithms
- Logistic Regression
- Data Preprocessing
- Tensorflow
- PyTorch (Machine Learning Library)
- Probability & Statistics
- Model Evaluation
- Regression Analysis
Introduction to Neural Networks and PyTorch
Completed by Shahab Mokarizadeh
July 30, 2021
18 hours (approximately)
Shahab Mokarizadeh'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
