- Classification Algorithms
- Probability & Statistics
- Logistic Regression
- Regression Analysis
- PyTorch (Machine Learning Library)
- Artificial Neural Networks
- Data Preprocessing
- Deep Learning
- Tensorflow
- Machine Learning Methods
- Predictive Modeling
- Model Evaluation
Introduction to Neural Networks and PyTorch
Completed by RIDA AHLAME
October 4, 2021
18 hours (approximately)
RIDA AHLAME'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
