Deep Learning with PyTorch
Completed by Yatin Patel
January 3, 2025
20 hours (approximately)
Yatin Patel'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: Image Analysis
- Category: Classification Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: PyTorch (Machine Learning Library)
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Logistic Regression
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Model Optimization
