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Generative_Deep_Learning.pngThe course aims to illustrate the fundamental concepts underlying the most recent Artificial Intelligence techniques for multimedia. In particular, deep neural networks will be presented based on current Deep Learning approaches, paying particular attention to generative models.
The goal is to explore the dimension of creativity by tacking tasks that were impossible only until recently: the creation of artificial images or human faces, the application of a pictorial style on a sample image (neural style transfer), the creation of a Question&Answer generator, composing text paragraphs or music scores.
Experiments on generative models will be performed in class through the use of the Python programming language and Deep Learning libraries such as Keras and Tensorflow.
The goal is to explore the dimension of creativity by tacking tasks that were impossible only until recently: the creation of artificial images or human faces, the application of a pictorial style on a sample image (neural style transfer), the creation of a Question&Answer generator, composing text paragraphs or music scores.
Experiments on generative models will be performed in class through the use of the Python programming language and Deep Learning libraries such as Keras and Tensorflow.
- Docente: Lauro Snidaro