Artificial Neural Networks and Deep Learning
12.1. GANs
Initializing search
insper/ann-dl
Artificial Neural Networks and Deep Learning
insper/ann-dl
Ementa
Classes
Classes
1. Concepts
2. Data
3. Preprocessing
4. Neural Networks
5. Perceptron
6. Multi-Layer Perceptron
7. Optimization
8. Regularization
9. Metrics and Evaluation
9. Metrics and Evaluation
9.1. Classification
9.2. Regression
10. Deep Learning
11. Convolutional
12. Generative Models
12. Generative Models
12.1. GANs
12.2. VAEs
12.3. Diffusion Models
References
Versions
Versions
Terms and Conditions
2025.2
2025.2
Presentation
Exercises
Exercises
1. Data
2. Perceptron
3. MLP
4. Metrics
Projects
Projects
1. Classification
2. Regression
3. Generative Models
12.1. GANs
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