The neural network shown in Figure 2 is most often called a two-layer network (rather than a three-layer network, as you might have guessed) because the input layer doesn't really do any processing. I ...

Many neural networks distinguish between three layers of nodes: input, hidden, and output. The input layer has neurons that accept the raw input; the hidden layers modify that input; and the ...

They add, "We generally use the output of the FFN [feed-forward network] prior to the last residual connection in each block as target," where a "block" is the Transformer equivalent of a neural ...

The great breakthrough about this model is that it makes no assumption about input data type, while, for instance, existing convolutional neural networks work for images only. Source: Perceiver ...

The Perceiver is kind-of a way-station on the way to what Google AI lead Jeff Dean has described as one model that could handle any task, and “learn” faster, with less data.

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent backer ...

The neural network shown in Figure 2 is most often called a two-layer network (rather than a three-layer network, as you might have guessed) because the input layer doesn't really do any processing. I ...