Glossary
Searchable terminology from accessibility, web standards, and related fields.
4 results found in Deep Learning.
- Attention Mechanism (Attention)
- A technique in neural networks that allows models to focus on relevant parts of the input when generating each part of the output, rather than relying solely on a fixed-length context vector. In seque…
- Inception-v3 (Inception v3)
- A deep convolutional neural network architecture developed by Google for image recognition, introduced in 2015. It uses "inception modules" that apply multiple convolution filter sizes in parallel to …
- Sequence-to-Sequence (Seq2Seq, Encoder-Decoder)
- A neural network architecture designed for tasks where both input and output are sequences of variable length, such as machine translation, speech recognition, and video captioning. A seq2seq model co…
- Transformer (Transformer Model, Transformer Architecture)
- A deep learning architecture introduced by Vaswani et al. in 2017 that relies entirely on attention mechanisms rather than recurrence (RNNs) or convolution for sequence modeling tasks. Transformers pr…