ValueError: Error when checking target: expected dense_2 to have 2 dimensions, but got array with shape (179, 1, 1) Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)(32) insufficient privilagesThe network adapter on which the capture was being done is no longer runningWhy does the cdc_ether driver not working correctly?`Configure VPN` is grayed out and I can't configure the VPNscale Maximum local port rangeethernet/internet and Wifi not working on Ubuntu 16,04Can't mount a samba share on a debian clientEthernet Network button not showingFailed to start raise network interfaces in Ubuntu 18.04Wire and wireless network problems with hp probook 450 g5

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ValueError: Error when checking target: expected dense_2 to have 2 dimensions, but got array with shape (179, 1, 1)



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)(32) insufficient privilagesThe network adapter on which the capture was being done is no longer runningWhy does the cdc_ether driver not working correctly?`Configure VPN` is grayed out and I can't configure the VPNscale Maximum local port rangeethernet/internet and Wifi not working on Ubuntu 16,04Can't mount a samba share on a debian clientEthernet Network button not showingFailed to start raise network interfaces in Ubuntu 18.04Wire and wireless network problems with hp probook 450 g5



.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















enter image description herecom/xkGrR.png
Attention.train_on_batch([tokens, casing, char, syns], labels)



'''
labels.shape = (179, 1, 1)
tokens.shape = (179, 1)
casing.shape = (179, 1)
char.shape = (179, 1, 52)
syns.shape = (179, 1)
'''










share|improve this question




























    0















    enter image description herecom/xkGrR.png
    Attention.train_on_batch([tokens, casing, char, syns], labels)



    '''
    labels.shape = (179, 1, 1)
    tokens.shape = (179, 1)
    casing.shape = (179, 1)
    char.shape = (179, 1, 52)
    syns.shape = (179, 1)
    '''










    share|improve this question
























      0












      0








      0








      enter image description herecom/xkGrR.png
      Attention.train_on_batch([tokens, casing, char, syns], labels)



      '''
      labels.shape = (179, 1, 1)
      tokens.shape = (179, 1)
      casing.shape = (179, 1)
      char.shape = (179, 1, 52)
      syns.shape = (179, 1)
      '''










      share|improve this question














      enter image description herecom/xkGrR.png
      Attention.train_on_batch([tokens, casing, char, syns], labels)



      '''
      labels.shape = (179, 1, 1)
      tokens.shape = (179, 1)
      casing.shape = (179, 1)
      char.shape = (179, 1, 52)
      syns.shape = (179, 1)
      '''







      networking






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Apr 11 at 13:31









      BellaBella

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