Deep Learning with PyTorch
Completed by Michal Lizler
November 17, 2025
18 hours (approximately)
Michal Lizler's account is verified. Coursera certifies their successful completion of Deep Learning with PyTorch
What you will learn
Get hands-on experience using PyTorch to build and deploy AI systems and complete a portfolio-worthy project.
Develop and train shallow neural networks with various architectures and apply Softmax regression in multi-class classification problems.
Explore deep neural networks, including techniques such as dropout, weight initialization, and batch normalization.
Gain practical experience with convolutional neural networks, exploring layers, activation functions, and more.
Skills you will gain
- Category: PyTorch (Machine Learning Library)
- Category: Model Evaluation
- Category: Image Analysis
- Category: Model Deployment
- Category: Deep Learning
- Category: Logistic Regression
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Machine Learning Methods
- Category: Classification Algorithms
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
