- Deep Learning
- Regression Analysis
- Classification Algorithms
- Probability & Statistics
- Tensorflow
- Predictive Modeling
- Machine Learning Methods
- Data Preprocessing
- PyTorch (Machine Learning Library)
- Model Evaluation
- Artificial Neural Networks
- Logistic Regression
Introduction to Neural Networks and PyTorch
Completed by Shirshendu Ghosh
February 2, 2023
18 hours (approximately)
Shirshendu Ghosh'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
