Deep Learning with PyTorch
Completed by AHMAD MUTTAQIN KHAIRUDDIN
June 13, 2026
20 hours (approximately)
AHMAD MUTTAQIN KHAIRUDDIN'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: Model Training
- Category: Transfer Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Statistical Methods
- Category: Logistic Regression
- Category: Model Optimization
- Category: Deep Learning
- Category: Convolutional Neural Networks
