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USA-OH-PORTSMOUTH Azienda Directories

Liste d'affari ed elenchi di società:
KIRBYS FLOWER SHOP
Indirizzo commerciale:  923 Gallia St,PORTSMOUTH,OH,USA
CAP:  45662-4186
Numero di telefono :  
Numero di Fax :  7403534184 (+1-740-353-4184)
Sito web:  
Email:  
USA SIC Codice:  599201
USA SIC Catalog:  Florists

KING & COOLEY SATELLITE TELEVISION SERVICES
Indirizzo commerciale:  507 Harrisonville Avenue,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7404564569 (+1-740-456-4569)
Numero di Fax :  7404565823 (+1-740-456-5823)
Sito web:  
Email:  
USA SIC Codice:  4833
USA SIC Catalog:  Television stations

KFC
Indirizzo commerciale:  3826 Us Highway 23,PORTSMOUTH,OH,USA
CAP:  45662-8620
Numero di telefono :  3052943165 (+1-305-294-3165)
Numero di Fax :  7403545669 (+1-740-354-5669)
Sito web:  www. kfc. com
Email:  
USA SIC Codice:  581208
USA SIC Catalog:  Restaurants

K & K CARPET CARE
Indirizzo commerciale:  ,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7407762090 (+1-740-776-2090)
Numero di Fax :  
Sito web:  kandkcarpetcare. verizonsupersite. com
Email:  
USA SIC Codice:  571305
USA SIC Catalog:  Carpet & Rug Dealers

JIMMYS PIZZA
Indirizzo commerciale:  2345 Gallia St,PORTSMOUTH,OH,USA
CAP:  45662-4762
Numero di telefono :  
Numero di Fax :  7403545600 (+1-740-354-5600)
Sito web:  
Email:  
USA SIC Codice:  581222
USA SIC Catalog:  Pizza

JDL ENTERPRISES
Indirizzo commerciale:  1735 Offnere St,PORTSMOUTH,OH,USA
CAP:  45662-2939
Numero di telefono :  7403542794 (+1-740-354-2794)
Numero di Fax :  7403534511 (+1-740-353-4511)
Sito web:  
Email:  
USA SIC Codice:  804201
USA SIC Catalog:  Optometrists OD

INDEPENDENT EQUIPMENT & SUPPLY
Indirizzo commerciale:  5415 Gallia Street,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7407762154 (+1-740-776-2154)
Numero di Fax :  7407762429 (+1-740-776-2429)
Sito web:  
Email:  
USA SIC Codice:  353401
USA SIC Catalog:  Mfg Elevators/escalators Building Equipment Installatio

HOSPICE OF SOUTHERN OHIO
Indirizzo commerciale:  2201 25th St,PORTSMOUTH,OH,USA
CAP:  45662-3252
Numero di telefono :  7403566109 (+1-740-356-6109)
Numero di Fax :  7403532567 (+1-740-353-2567)
Sito web:  
Email:  
USA SIC Codice:  805908
USA SIC Catalog:  Hospices

HOME SWEET HOME
Indirizzo commerciale:  1556 12th St,PORTSMOUTH,OH,USA
CAP:  45662-4534
Numero di telefono :  
Numero di Fax :  7403539103 (+1-740-353-9103)
Sito web:  
Email:  
USA SIC Codice:  519904
USA SIC Catalog:  Interior Decorators/Dsgnrs Supls (Whol)

HOME
Indirizzo commerciale:  1143SecondStreet,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7408589147 (+1-740-858-9147)
Numero di Fax :  
Sito web:  truckdeal. net
Email:  
USA SIC Codice:  899999
USA SIC Catalog:  TRUCKING SERVICES

HILL VIEW RETIREMENT COMMUNITY
Indirizzo commerciale:  1610 28th St,PORTSMOUTH,OH,USA
CAP:  45662-2698
Numero di telefono :  7403551043 (+1-740-355-1043)
Numero di Fax :  7403543135 (+1-740-354-3135)
Sito web:  www. hillviewretirement. org
Email:  
USA SIC Codice:  805101
USA SIC Catalog:  Nursing & Convalescent Homes

HENRY OBERLING MOTOR COMPANY
Indirizzo commerciale:  1202 Offnere St,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7403533136 (+1-740-353-3136)
Numero di Fax :  7403533744 (+1-740-353-3744)
Sito web:  
Email:  
USA SIC Codice:  559999
USA SIC Catalog:  Ret Misc Vehicles Repair Services Plumbing/heating/air

HELPING HAND LIVING SERVICES
Indirizzo commerciale:  P.O. Box 3126,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7404565859 (+1-740-456-5859)
Numero di Fax :  6069326814 (+1-606-932-6814)
Sito web:  helpinghandcleaning. net
Email:  
USA SIC Codice:  8999
USA SIC Catalog:  Services NEC

GLOCKNER CHEVROLET
Indirizzo commerciale:  PO Box 1308,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7403532161 (+1-740-353-2161)
Numero di Fax :  7403531625 (+1-740-353-1625)
Sito web:  glocknertruckplaza. com
Email:  
USA SIC Codice:  5012
USA SIC Catalog:  Car Dealers

GERLACH AND GERLACH
Indirizzo commerciale:  814 Seventh Street,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  6143547755 (+1-614-354-7755)
Numero di Fax :  
Sito web:  antiqueconsignments. com
Email:  
USA SIC Codice:  593202
USA SIC Catalog:  Antiques

GENERAL HEATING & A/C
Indirizzo commerciale:  549 3rd Street,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7403544422;7408202641 (+1-740-354-4422;7408202641)
Numero di Fax :  7403536633 (+1-740-353-6633)
Sito web:  
Email:  
USA SIC Codice:  171198
USA SIC Catalog:  Plumbing Heating & Air Conditioning

GALLERYOGIFTS
Indirizzo commerciale:  1049 28th St,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7406635769 (+1-740-663-5769)
Numero di Fax :  5202239755 (+1-520-223-9755)
Sito web:  graciemays. com
Email:  
USA SIC Codice:  594712
USA SIC Catalog:  Gift Shops

FRED BRISKER ASSOCIATES
Indirizzo commerciale:  Genie Dillon 1110 Gay St PO Box 1306,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7403533733 (+1-740-353-3733)
Numero di Fax :  
Sito web:  briskerassoc. com
Email:  
USA SIC Codice:  8999
USA SIC Catalog:  Services NEC

FRANZ SIGN CO
Indirizzo commerciale:  8 Glover St P O Box 1521,PORTSMOUTH,OH,USA
CAP:  45662
Numero di telefono :  7403541470 (+1-740-354-1470)
Numero di Fax :  7403541470 (+1-740-354-1470)
Sito web:  franzsignco. com
Email:  
USA SIC Codice:  152106
USA SIC Catalog:  Designers

Show 115-133 record,Total 205 record
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Azienda News:
  • OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
    Memorization with neural networks is to study the expressive power of neural networks to interpolate a finite classification data set, which is closely related to the generalizability of deep learning However, the important problem of robust memorization has not been thoroughly studied
  • OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS - ICLR
    Second, we explicitly construct neural networks with O(N n) parameters for optimal robust memorization of any data set with dimension n and size N We also give a lower bound for the width of networks to achieve optimal robust memorization
  • On the Optimal Memorization Power of ReLU Neural Networks
    We study the memorization power of feedforward ReLU neural networks We show that such networks can memorize any N points that satisfy a mild separability assumption using O~(N−−√) parameters Known VC-dimension upper bounds imply that memorizing N samples requires Ω(N−−√) parameters, and hence our construction is optimal up to logarithmic factors
  • Optimal Robust Memorization with ReLU Neural Networks
    Lijia Yu, Xiao-Shan Gao, Lijun Zhang: Optimal Robust Memorization with ReLU Neural Networks In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 , 2024
  • Small ReLU networks are powerful memorizers: - NeurIPS
    We study finite sample expressivity, i e , memorization power of ReLU networks Recent results require Nhidden nodes to memorize interpolate arbitrary Ndata points In contrast, by exploiting depth, we show that 3-layer ReLU networks with (p N)hidden nodes can perfectly memorize most datasets with Npoints We also prove that width (p
  • arXiv:2110. 03187v1 [cs. LG] 7 Oct 2021
    showed that neural networks with sigmoidal or ReLU activations can memorize N points in Rd separated by a normalized distance of δ, using O N2 3 +log(1 δ) parameters (where the dimension d is constant) Thus, in this work we improve the dependence on N from N2 3 to √ N (up to logarithmic factors), which is optimal
  • Optimal robust Memorization with ReLU Neural Networks. - dblp
    Bibliographic details on Optimal robust Memorization with ReLU Neural Networks
  • OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS - OpenReview
    Memorization with neural networks is to study the expressive power of neural networks to interpolate a finite classification dataset, which is closely related to the generalizability of deep learning
  • On the Optimal Memorization Power of ReLU Neural Networks
    Optimal memorization capacity Theorem Let (x 1;y 1);:::;(x n;y n) 2Rd f 1;:::;Cgwhere d is constant, kx ik r for every i, and kx i x jk for every i 6= j Then, there exists a ReLU network F : Rd!R with O~ p n parameters, such that F(x i) = y i for every i 2[n] O~( ) hides log factors in n;C;r; 1 Matches the (p n) lower bound (up to log factors)
  • Small ReLU networks are powerful memorizers: a tight analysis of . . .
    ImageNet ( N = 1M, 1k classes) can be memorized with 4-layer ReLU networks with hidden layer size 2k-2k-4k • Overparametrized NNs trained with SGD can memorize even random noise [Zhang et al , 2017] To understand memorization phenomenon, it is important to understand NN’s expressive power




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