Deep Learning with PyTorch
Completed by mohammed Abdelmeguid
May 16, 2026
20 hours (approximately)
mohammed Abdelmeguid'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: Deep Learning
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Image Analysis
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Model Training
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Statistical Methods
