The ConvRBM adapted terminologies of the CNN to the RBM to allow scaling the RBM unsupervised training to images by sharing weights and by implementing a probabilistic pooling layer. The ConvRBM is formed of a binary visible layer and groups of hidden binary units. The nodes of each group ...
outcomes. A multi-disciplinary class covered aesthetic terminologies, followed by a series of digital arts that envisioned digital, aesthetic, and listening practices. Considering the global agenda’s recent “new norms”, this study contributes to the postdigital era of sound and acoustic-related ...