TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17)
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47 дней – 7460:45
Опубликовано 10 марта 2017, 22:44
Deep learning has already revolutionized machine learning research, but it hasn't been broadly accessible to many developers. In this video, Martin Gorner explores the possibilities of recurrent neural networks by building a language model in TensorFlow. What this model can do will impress you.
Developers with no prior machine learning experience are welcome. We do recommend that you watch the video ""TensorFlow and deep learning without a PhD part 1"" unless you already know about dense and convolutional networks and are only interested in recurrent networks.
This video is an intense technical video designed to help beginners in machine learning ramp up quickly.
Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k
Developers with no prior machine learning experience are welcome. We do recommend that you watch the video ""TensorFlow and deep learning without a PhD part 1"" unless you already know about dense and convolutional networks and are only interested in recurrent networks.
This video is an intense technical video designed to help beginners in machine learning ramp up quickly.
Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k
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