Ven
31
Mar
Seminari e Convegni
Third level course - Deep Learning and Transformers
From 31 March 2023 Professor Giansalvo Cirrincione from Université de Picardie Jules Verne will teach the third level course "01HIQRV - Deep Learning and Transformers (didattica di eccellenza) " in Room C (Aula C) at Politecnico. The course will cover the evolution of deep neural networks up until the famous ChatGPT model.
Course Abstract
Deep learning is the new frontier of artificial intelligence. It is based on very performing neural networks, thanks to the last software and hardware developments. In these last years, the transformer model has become the best tool. It is mainly used for advanced applications in natural language processing, like machine translation, named entity recognition, quiz answering and so on. Google is using it to enhance its search engine results. OpenAI has used transformers to create its famous GPT-2 and GPT-3 models, e.g., the famous ChatGPT, a chatbot launched in November 2022. It is also becoming more and more important in other fields of application, like computer vision (ViT), video processing, automatic speech recognition, forecasting (TFT), medical imaging, biological sequence analysis.
Course Schedule:
Course Abstract
Deep learning is the new frontier of artificial intelligence. It is based on very performing neural networks, thanks to the last software and hardware developments. In these last years, the transformer model has become the best tool. It is mainly used for advanced applications in natural language processing, like machine translation, named entity recognition, quiz answering and so on. Google is using it to enhance its search engine results. OpenAI has used transformers to create its famous GPT-2 and GPT-3 models, e.g., the famous ChatGPT, a chatbot launched in November 2022. It is also becoming more and more important in other fields of application, like computer vision (ViT), video processing, automatic speech recognition, forecasting (TFT), medical imaging, biological sequence analysis.
Course Schedule:
- Friday 31 March 2023 - 10,00-13,00
- Monday 3 April 2023 - 14,00-17,00
- Tuesday 4 April 2023 - 10,00-13,00
- Monday 17 April 2023 - 14,30-17,30
- Tuesday 18 April 2023 - 9,00-12,00
- Tuesday 2 May 2023 - 10,00-13,00
- Wednesday 3 May 2023 -14,00-17,00
- Monday 5 June 2023 - 14,00-17,00