Row 5024

Row ID: 5024 | Dataset Entry | Axioma AXP Content Repository

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Newbie here to neural networks..

What are next steps that I can follow to resolve?

Getting this error message:

...

...

**ValueError: \`logits\` and \`labels\` must have the same shape, received ((20, 64) vs (20, 1)).**

​

My code is:

import tensorflow as tf

from tensorflow import keras

X\_train = X\_train.astype('float32')

y\_train = y\_train.astype('float32')

\# Fitting the ANN

history\_0 = model\_0.fit(

X\_train, y\_train,

batch\_size=20, ## Complete the code to specify the batch size to use

\#validation\_data=(X\_val,y\_val),

epochs=50, ## Complete the code to specify the number of epochs

verbose=1

​

FieldValue
text Newbie here to neural networks.. What are next steps that I can follow to resolve? Getting this error message: ... ... **ValueError: \`logits\` and \`labels\` must have the same shape, received ((20, 64) vs (20, 1)).** ​ My code is: import tensorflow as tf from tensorflow import keras X\_train = X\_train.astype('float32') y\_train = y\_train.astype('float32') \# Fitting the ANN history\_0 = model\_0.fit( X\_train, y\_train, batch\_size=20, ## Complete the code to speci…
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-04-25
username_encoded Z0FBQUFBQm5LakwyQWgtTHdKM2VIY3hVbFZhSDVJY3BHLUZvNnNSdUpZMXRQcEVzRk1yTDBnSXR6TjRXNUR2MzIzNEdVbXVmZk1pRFdKLTZ5eFV2OExjM2dpemFRTjRJLXc9PQ==
url_encoded Z0FBQUFBQm5Lak9GV1ZTT0RrNkY4M0xubDNrRDhvSWxibzB6TXFEWENxN1RSdnBZMmVJWTcwZmdZTjlRV3VwSmVfUU0yNUJpLUJYRXFoaHJVZ25DQi05QVJrNkVOYmZVVVRBV1ZTN2JjN25WNUt5NV8ycU8zcmd0WVRLYy1uZDVKSk9STkdldXF3SlYxRWFRMlZ0b3l4c0F1QlV3cENlbldHcWltaWczVlphbFMyTmdXZTZqNjRxUERqUHNGMG1JMTBseTF0UUJfUlVva0k2c0U2cUhzbzM5QjgwYk5KY3BSUT09

Raw Record

{
  "text": "Newbie here to neural networks..\n\nWhat are next steps that I can follow to resolve?\n\nGetting this error message:\n\n...\n\n...\n\n **ValueError: \\`logits\\` and \\`labels\\` must have the same shape, received ((20, 64) vs (20, 1)).** \n\n​\n\nMy code is:\n\nimport tensorflow as tf\n\nfrom tensorflow import keras\n\nX\\_train = X\\_train.astype('float32')\n\ny\\_train = y\\_train.astype('float32')\n\n\\# Fitting the ANN\n\nhistory\\_0 = model\\_0.fit(\n\nX\\_train, y\\_train,\n\nbatch\\_size=20,    ## Complete the code to specify the batch size to use\n\n\\#validation\\_data=(X\\_val,y\\_val),\n\nepochs=50,    ## Complete the code to specify the number of epochs\n\nverbose=1\n\n​",
  "label": "r/neuralnetworks",
  "dataType": "post",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-04-25",
  "username_encoded": "Z0FBQUFBQm5LakwyQWgtTHdKM2VIY3hVbFZhSDVJY3BHLUZvNnNSdUpZMXRQcEVzRk1yTDBnSXR6TjRXNUR2MzIzNEdVbXVmZk1pRFdKLTZ5eFV2OExjM2dpemFRTjRJLXc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GV1ZTT0RrNkY4M0xubDNrRDhvSWxibzB6TXFEWENxN1RSdnBZMmVJWTcwZmdZTjlRV3VwSmVfUU0yNUJpLUJYRXFoaHJVZ25DQi05QVJrNkVOYmZVVVRBV1ZTN2JjN25WNUt5NV8ycU8zcmd0WVRLYy1uZDVKSk9STkdldXF3SlYxRWFRMlZ0b3l4c0F1QlV3cENlbldHcWltaWczVlphbFMyTmdXZTZqNjRxUERqUHNGMG1JMTBseTF0UUJfUlVva0k2c0U2cUhzbzM5QjgwYk5KY3BSUT09"
}
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