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Embedded Frameworks
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Deep Learning
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Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
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Deep Learning models as a service, Natural Language Processing NLP. Cloud-based Machine Learning.
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UMSeLF - UM Student e-Learning Framework
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Learning Development Framework - Das neue Handwerkszeug für Lernstrategen und Learning Designer.
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What are the best methods for interpreting the solutions learned by modern deep learning algorithms in language modelling and related domains? How can these methods be fruitfully applied to improve the technology, to ensure ethical outcomes and to allow users to adapt them to their needs?
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Bean's Note of Linux Embedded - My Linux Embedded Learning Progress.
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Vict0rsch — (Deep) Learning Enthusiast
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deepjazz: deep learning for jazz
deepjazz uses Keras and Theano, two deep learning libraries, to generate jazz music. Specifically, it builds a two-layer LSTM, learning from the given MIDI file. It uses deep learning, the AI tech that powers Google's AlphaGo and IBM's Watson, to make music -- something that's considered as deeply human.
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