WiMi's attentional autoencoder network is a technical framework for efficient recommendation systems that combine autoencoders and attention mechanisms to improve the accuracy and efficiency of ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

Autoencoders An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program. An input image x, ...

Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk ...

––WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced that it developed an innovative technology, attentional autoencoder network for ...