2017 Super Lowest Price ASTM A490 A490M Heavy Hex Structural Bolt for Irish Factories
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ASTM A490 A490M Heavy Hex Structural Bolts The bolts are intended for use in structural connections. These connections are covered under the requirements of the Specification for Structural Joints Using ASTM A490 Bolts, approved by the Research Council on Structural Connections, endorsed by the American Institute of Steel Construction and by the Industrial Fastener Institute. Dimension: ASME B18.2.6, ASME/ANSI B18.2.3.7M Inch Size: 1/2″-1.1/2″ with various length Metric Size: M1...
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2017 Super Lowest Price ASTM A490 A490M Heavy Hex Structural Bolt for Irish Factories Detail:
ASTM A490 A490M Heavy Hex Structural Bolts
The bolts are intended for use in structural connections. These connections are covered under the requirements of the Specification for Structural Joints Using ASTM A490 Bolts, approved by the Research Council on Structural Connections, endorsed by the American Institute of Steel Construction and by the Industrial Fastener Institute.
Dimension: ASME B18.2.6, ASME/ANSI B18.2.3.7M
Inch Size: 1/2″-1.1/2″ with various length
Metric Size: M12-M36 with various length
Grade: ASTM A490 A490M Type-1
Finish: Black Oxide, Zinc Plating, Dacromet, and so on
Packing: Bulk about 25 kgs each carton, 36 cartons each pallet
Advantage: High Quality and Strict Quality Control, Competitive price,Timely delivery; Technical support, Supply Test Reports
Please feel free to contact us for more details.
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Lecture 1 introduces the concept of Natural Language Processing (NLP) and the problems NLP faces today. The concept of representing words as numeric vectors is then introduced, and popular approaches to designing word vectors are discussed.
Key phrases: Natural Language Processing. Word Vectors. Singular Value Decomposition. Skip-gram. Continuous Bag of Words (CBOW). Negative Sampling. Hierarchical Softmax. Word2Vec.
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Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
https://stanfordonline.stanford.edu/