Advanced PyTorch Techniques and Applications
Completed by Dharshini K
May 19, 2025
11 hours (approximately)
Dharshini K's account is verified. Coursera certifies their successful completion of Advanced PyTorch Techniques and Applications
What you will learn
Create and assess ML models for specific datasets, evaluating performance with proper metrics.
Design autoencoders for dimensionality reduction and build GANs for data simulation, analyzing quality.
Develop Graph Neural Networks for graph data and implement Transformers, including Vision Transformers.
Enhance models with semi-supervised learning using limited data, and deploy them with Flask on Google Cloud.
Skills you will gain
- Category: PyTorch (Machine Learning Library)
- Category: Generative Adversarial Networks (GANs)
- Category: Model Evaluation
- Category: Network Model
- Category: Embeddings
- Category: Unsupervised Learning
- Category: Flask (Web Framework)
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Graph Theory
- Category: Natural Language Processing
- Category: Machine Learning Methods
