Fine-Grained Image Recognition: The process of distinguishing closely related subcategories within a broader category by analysing subtle and discriminative visual features. Convolutional Neural ...

Deep neural networks trained on large annotated visual datasets have become state-of-the-art models for both visual recognition tasks and predicting neuronal responses in the primate visual stream.

In principle it's possible to create a neural network classifier for MNIST data using just a single linear layer that accepts 784 input values and emits 10 logits or pseudo-probabilities. But this ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of objects.

Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars. Skip to main ...

Newly discovered neural network gets visual and motor circuits in sync. Champalimaud Centre for the Unknown. Journal Neuron Funder ...