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Stainless Steel Hexagon Nuts
Standard: ASME B18.2.2, DIN934 Various configurations are also available
Inch Size: 1/4”-1.1/2” with various lengths
Metric Szie: M6-M39 with various lengths
Material Grade: ASTM F594 A, B, C, D, E, F, G, H; ISO 3506 A2-70, A2-80, A4-70, A4-80
Finish: Black Oxide, Zinc Plated, Hot Dip Galvanized, 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.Bear "Customer 1st, Good quality first" in mind, we work closely with our prospects and supply them with efficient and professional services for Competitive Price for China Customized Non-Standard CNC Turning Machining Brass Hex Nut Hex Cap Nuts Hex Serrated Nuts Hexagonal Nut Hexagon Nut, If you pursuit the Hi-quality, Hi-stable, Competitive price parts, company name is your best choice!
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China Hex NutNon-Standard Nut
Competitive Price for China Customized Non-Standard CNC Turning Machining Brass Hex Nut Hex Cap Nuts Hex Serrated Nuts Hexagonal Nut Hexagon Nut Related Video:
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that’s useful for people who want to watch specific talks several times (like I do). Please check out the official website (https://www.bayareadlschool.org) and full live streams below.
Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I’ve yet encountered. Here are links to the individual talks and the full live streams for the two days:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) – https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) – https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) – https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) – https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) – https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) – https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) – https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) – https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) – https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) – https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) – https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) – https://youtu.be/11rsu_WwZTc
Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY
Go to https://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.