Resources on learning deeplearning from the Massachusetts Institute of Technology

2 de March de 2020 2 de March de 2020

A great selection of resources on learning deeplearning by Lex Fridman from the Massachusetts Institute of Technology (MIT).

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https://editorialia.com/wp-content/uploads/2020/02/fig.-4-date-pre-processing-pattern-recognition-and-machine-learning-pipeline-in-bcis.jpg

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications

12 de February de 2020 12 de February de 2020

Recent technological advances such as wearable sensing devices, real-time data streaming, machine learning, and deep learning approaches have increased interest in electroencephalographic (EEG) based BCI for translational and healthcare applications.

Turing-NLG: A 17-billion-parameter language model by Microsoft

11 de February de 2020 11 de February de 2020

Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question answering, and summarization capabilities, to academics for feedback and research purposes.

Deep Learning

7 de February de 2020 7 de February de 2020

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. (“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” ―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX).

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D. Learning