Deep learning, lecture 9 - Recurrent Neural Networks III, Machine translation
23. dubna 2018
Řečníci
Milan Straka
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O prezentaci
In recent years, deep neural networks have been used to solve complex machine-learning problems. They have achieved significant state-of-the-art results in many areas. In recent years, deep neural networks have been used to solve complex machine-learning problems. They have achieved significant state-of-the-art results in many areas. The goal of the course is to introduce deep neural networks, from the basics to the latest advances. The course will focus both on theory as well as on practical aspects (students will implement and train several deep neural networks capable of achieving state-of-the-art results, for example in named entity recognition, dependency parsing, machine translation, image labeling or in playing video games). No previous knowledge of artificial neural networks is required, but basic understanding of machine learning is advisable.In recent years, deep neural networks have been used to solve complex machine-learning problems. They have achieved significant state-of-the-art results in many areas. In recent years, deep neural networks have been used to solve complex machine-learning problems. They have achieved significant state-of-the-art results in many areas. The goal of the course is to introduce deep neural networks, from the basics to the latest advances. The course will focus both on theory as well as on practical a…
Kategorie
AI & Data Science
Category · 10.8k presentations
O organizátorovi ( MFF UK)
Matematicko-fyzikální fakulta je jednou z fakult Univerzity Karlovy v Praze, kde se spolu s našimi studenty zabýváme výzkumem v oborech matematika, fyzika a informatika.
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