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The Decade of Deep Learning
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput
Christopher watkin
Lee sedol
Group normalization
Neural networks
Convolutional neural networks
Generative adversarial networks
Value network architectures source
Rectifier nonlinearities improve neural network acoustic models
Convolutional networks for large
Accurate deep network
Highway networks
Convolutional neural network
Network training
Sparse rectifier neural networks
Deep learning
Computer vision
Understanding ChatGPT
ChatGPT is a deep-learning model created by OpenAI whose ability to generate human-like prose has made AI a topic of conversation. Learn more
Jakob uszkoreit
Niki parmar
Noam shazeer
Ashish vaswani
Aidann gomez
Illia polosukhin
Swiss army
Google translate
Long short term memory
Machine learning
Encoder representations
Bidirectional encoder representations
Deep bidirectional transformers
Masked language
Large language model
Generative pretrained transformer
Deploying Transformers on the Apple Neural Engine
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the [Transformer…
Illia polosukhin
Kristina toutanova
Noam shazeer
Lukasz kaiser
Francesco rossi
Atila orhon
Youchang kim
Jakob uszkoreit
Niki parmar
Ming wei chang
Aidann gomez
Vignesh jagadeesh
Aseem wadhwa
Kenton lee
Research to production
Research papers
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