- Predictive Modeling
- Data Preprocessing
- Machine Learning Methods
- Model Evaluation
- Tensorflow
- Regression Analysis
- Classification Algorithms
- PyTorch (Machine Learning Library)
- Artificial Neural Networks
- Logistic Regression
- Deep Learning
- Probability & Statistics
Introduction to Neural Networks and PyTorch
Completed by Farhad Amouzgar
July 15, 2020
18 hours (approximately)
Farhad Amouzgar'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
