- Logistic Regression
- Applied Machine Learning
- PyTorch (Machine Learning Library)
- Model Evaluation
- Supervised Learning
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Classification Algorithms
- Artificial Neural Networks
- Deep Learning
- Convolutional Neural Networks
Deep Learning with PyTorch
Completed by fawad ali
March 30, 2025
18 hours (approximately)
fawad ali'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.