Advanced PyTorch Techniques and Applications
Completed by Paul Corella
August 5, 2025
11 hours (approximately)
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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: Flask (Web Framework)
- Category: Model Optimization
- Category: Model Training
- Category: Embeddings
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Generative Adversarial Networks (GANs)
- Category: Network Model
- Category: PyTorch (Machine Learning Library)
- Category: Model Deployment
- Category: Generative Model Architectures
- Category: Artificial Neural Networks
