- Deep Learning
- Logistic Regression
- Artificial Intelligence and Machine Learning (AI/ML)
- Classification Algorithms
- Model Evaluation
- Machine Learning Methods
- Artificial Neural Networks
- Convolutional Neural Networks
- Supervised Learning
- PyTorch (Machine Learning Library)
- Applied Machine Learning
Deep Learning with PyTorch
Completed by Arvind Walia
May 27, 2025
18 hours (approximately)
Arvind Walia'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
