Deep learningDeep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning. The adjective "deep" in deep learning refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
Finding NemoFinding Nemo is a 2003 American computer-animated comedy-drama adventure film produced by Pixar Animation Studios for Walt Disney Pictures. Directed by Andrew Stanton with co-direction by Lee Unkrich, the screenplay was written by Stanton, Bob Peterson, and David Reynolds from a story by Stanton. The film stars the voices of Albert Brooks, Ellen DeGeneres, Alexander Gould, Willem Dafoe, and Geoffrey Rush. It tells the story of an overprotective clownfish named Marlin (Brooks) who, along with a forgetful regal blue tang named Dory (DeGeneres), searches for his missing son Nemo (Gould).
Transformer (machine learning model)A transformer is a deep learning architecture that relies on the parallel multi-head attention mechanism. The modern transformer was proposed in the 2017 paper titled 'Attention Is All You Need' by Ashish Vaswani et al., Google Brain team. It is notable for requiring less training time than previous recurrent neural architectures, such as long short-term memory (LSTM), and its later variation has been prevalently adopted for training large language models on large (language) datasets, such as the Wikipedia corpus and Common Crawl, by virtue of the parallelized processing of input sequence.
