Запись и презентация с вводного вебинара по DeepLearning от Александра Гончар для студентов СФ БашГУ.
https://www.youtube.com/watch?v=8pbQ9Pve8bo
https://www.linkedin.com/in/alex-honchar-4423b962
https://www.youtube.com/watch?v=8pbQ9Pve8bo
https://www.linkedin.com/in/alex-honchar-4423b962
Когда мы сможем загрузить мозг в компьютер
Специалист по машинному обучению, создатель одной из сильнейших шахматных программ Сергей Марков прочитал в Москве лекцию о перспективах перемещения сознания на другой носитель. О прогрессе в области нейроинтерфейсов, первых киборгах и перспективах нейронных сетей — в материале «Футуриста».
http://futurist.ru/articles/558
Специалист по машинному обучению, создатель одной из сильнейших шахматных программ Сергей Марков прочитал в Москве лекцию о перспективах перемещения сознания на другой носитель. О прогрессе в области нейроинтерфейсов, первых киборгах и перспективах нейронных сетей — в материале «Футуриста».
http://futurist.ru/articles/558
LipNet: Automated lipreading - Чтение по губам.
93% распознавание сетью (люди 52%)
Lipreading is the task of decoding text from the movement of a speaker’s mouth. Traditional approaches separated the problem into two stages: designing or learning visual features, and prediction.
http://www.oxml.co.uk/publications/2016-Assael_Shillingford_LipNet.pdf
https://www.youtube.com/watch?v=fa5QGremQf8
93% распознавание сетью (люди 52%)
Lipreading is the task of decoding text from the movement of a speaker’s mouth. Traditional approaches separated the problem into two stages: designing or learning visual features, and prediction.
http://www.oxml.co.uk/publications/2016-Assael_Shillingford_LipNet.pdf
https://www.youtube.com/watch?v=fa5QGremQf8
Команда Google DeepMind представила новый ИИ, способный самостоятельно учиться выполнять задачи
https://tproger.ru/news/deepmind-new-algorithm/
https://tproger.ru/news/deepmind-new-algorithm/
Port of Single Shot MultiBox Detector to Keras (SSD)
https://arxiv.org/pdf/1512.02325v3.pdf
https://github.com/rykov8/ssd_keras
#keras #ssd
https://arxiv.org/pdf/1512.02325v3.pdf
https://github.com/rykov8/ssd_keras
#keras #ssd
Курс по Tensorflow от BigDataUniversity (free)
https://bigdatauniversity.com/courses/deep-learning-tensorflow/
ML0120EN
COURSE LEVEL: Advanced
TIME TO COMPLETE: 10 Hours
#tensorflow
https://bigdatauniversity.com/courses/deep-learning-tensorflow/
ML0120EN
COURSE LEVEL: Advanced
TIME TO COMPLETE: 10 Hours
#tensorflow
cnn-benchmarks
Benchmarks for popular convolutional neural network models on CPU and different GPUs, with and without cuDNN.
https://github.com/jcjohnson/cnn-benchmarks
Benchmarks for popular convolutional neural network models on CPU and different GPUs, with and without cuDNN.
https://github.com/jcjohnson/cnn-benchmarks
Презентация
Deep learning for audio-based music recommendation
We are delighted to republish slides on Deep learning for audio-based
music recommendation by Sander Dieleman.
Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University.
The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering.
Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016.
http://www.russia.ai/single-post/2016/12/01/Deep-learning-for-audio-based-music-recommendation
Deep learning for audio-based music recommendation
We are delighted to republish slides on Deep learning for audio-based
music recommendation by Sander Dieleman.
Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University.
The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering.
Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016.
http://www.russia.ai/single-post/2016/12/01/Deep-learning-for-audio-based-music-recommendation