- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Neural Networks
- Deep Learning
- PyTorch (Machine Learning Library)
- Computer Vision
- Regression Analysis
- Machine Learning Methods
- Applied Machine Learning
Deep Learning with PyTorch
Completed by Amirali Ghajari
March 27, 2025
20 hours (approximately)
Amirali Ghajari's account is verified. Coursera certifies their successful completion of Deep Learning with PyTorch
What you will learn
Key concepts on Softmax regression and understand its application in multi-class classification problems.
How to develop and train shallow neural networks with various architectures.
Key concepts of deep neural networks, including techniques like dropout, weight initialization, and batch normalization.
How to develop convolutional neural networks, apply layers and activation functions.
Skills you will gain
