_viper-400-black.jpg "Viper 400 - Black from nn model Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 53 sec
✓ Published: 19-Feb-2022
✓ Published: 19-Feb-2022
Description:
Brand: OverdrivenModel: Viper 400nColor: Black, Red, YellownEngine: Parallel Twin CylindernDisplacement: 396ccnPower: 30hp @ 6,500 RpmnTorque: 22.5 N.n. @ 6,500 RpmnBore x Stroke: 69 x 62mmnCooling System: Liquid CoolingnCompression Ratio: 9.8:1nFuel System:
Brand: OverdrivenModel: Viper 400nColor: Black, Red, YellownEngine: Parallel Twin CylindernDisplacement: 396ccnPower: 30hp @ 6,500 RpmnTorque: 22.5 N.n. @ 6,500 RpmnBore x Stroke: 69 x 62mmnCooling System: Liquid CoolingnCompression Ratio: 9.8:1nFuel System:
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_act26nov-b-yesha-present-3nn-model.webp "ACT26NOV-B Yesha present 3NN Model from nn model")
_protect-me-new-model-for-accident-insurance-long.webp "protect.me is an accident insurance by NN Insurance Hungary, designed with Frontìra. nAwards: IF Design Award in Service Design discipline 2019; Best New Mobile App award 2018")
_morphozoic-update-10-15-by-tom-portegys.webp "Short presentation to DevoWorm group on Morphozoic (hybrid CA/GA/NN model for pattern formation and embryogenesis)")
_silo-emmanuel-abbe.webp "Date: 2021-04-21nnTitle: Fundamental limits of (S)GD on neural networksnnAbstract: We consider the learning paradigm consisting of training general neural networks (NN) with (S)GD. What is the class of functions that can be learned with this paradigm? How does it compare to known classes such as PAC and SQ? Is depth/overapametrization needed to learn certain classes? We show that SGD on NN is equivalent to PAC while GD on NN is equivalent to SQ, obtaining a separation between the classes learned")
_dejavu-hd-1.webp "D E J A V Un@malviemagnnCREATIVE DIRECTION/FASHION STYLINGn@angela.lezamaen@paola_gmgn@tatitafurnnPHOTOGRAPHYn@marcguerrerophotonnMUAn@saralouzao.mkpnnMODELn@_baara.g.e._n@twomanagementbarcelonannSPECIAL THANKSn@nn_pressn@marialuisadeespanan@marcjuancomunicacionn@fernandorodriguezdesign_")
_t-the-new-york-times-style-magazine-the-scenemakers-2020.webp "A short film I directed for T: The New York Times Style Magazine.nFeaturing: the writer and model SEASHELL COKER; the designer VICTOR BARRAGÁN; the model and Dick Appointment host HALLE CHERRY, the designer AYLA ARGENTINA; the D.J. and Papi Juice co-founder OSCAR NÑ; the designer CARLY MARK; the designer RAFFAELLA HANLEY; the artist, D.J. and Club Glam co-founder DESE ESCOBAR, the makeup artist and Bubble_T co-founder STEVIE HUYNH; the D.J. and GHE20G0TH1K founder VENUS X; the photographer and")
_the-39images39-that-10-neurons-in-a-simple-neural-network-use-to-predict-the-probability-of-a-digit.webp "The network has just one linear layer (nn.Linear(64,10) layer))! It is training on the Scikit-Learn Digits dataset. Each frame shows what the 'image' per neuron looks lik after one epoch of training the model.")
⏲ 21 sec ✓ 10-May-2021
_deep-learning-for-robotic-mass-transport-cloaking.webp "Authors: Reza Khodayi-mehr and Michael M. ZavlanosnnDescription: The contour plot on the left shows the NN approximation of the time-dependent AD-PDE obtained after solving the Mass Transport Cloaking (MTC) problem. The contour plot in the middle shows the FE solution obtained for the final optimal controls whereas the contour plot on the right shows the error between the NN and FE solutions. Note that although the NN solution is learned while solving the MTC problem where the PDE constraint is")
_act26nov-b-yesha-present-3nn-model.jpg)
_protect-me-new-model-for-accident-insurance-long.jpg)
_morphozoic-update-10-15-by-tom-portegys.jpg)
_silo-emmanuel-abbe.jpg)
_dejavu-hd-1.jpg)
_t-the-new-york-times-style-magazine-the-scenemakers-2020.jpg)
_the-39images39-that-10-neurons-in-a-simple-neural-network-use-to-predict-the-probability-of-a-digit.jpg)
_deep-learning-for-robotic-mass-transport-cloaking.jpg)
![[+]](/images/menu.gif){kind=small}