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VincFort
VincFort
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You can use the following command to reshape to a 200x200x1 array.

data = data.reshape(-1,200,200,1)

You can also transform your (n_samples,200,200,1) shaped data into a dataset and batch it. It should fix your dimension problem.

You can do that by using the following command: tf.data.Dataset.from_tensor_slices((inputs,outputs)).batch(BATCHSIZE)

You can use the following command to reshape to a 200x200x1 array.

data = data.reshape(-1,200,200,1)

You can use the following command to reshape to a 200x200x1 array.

data = data.reshape(-1,200,200,1)

You can also transform your (n_samples,200,200,1) shaped data into a dataset and batch it. It should fix your dimension problem.

You can do that by using the following command: tf.data.Dataset.from_tensor_slices((inputs,outputs)).batch(BATCHSIZE)

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VincFort
VincFort
  • 1.2k
  • 12
  • 32

You can transform your data into a dataset and batch it. It should fix your dimension problem.

You can do that by usinguse the following command: tf.data.Dataset.from_tensor_slices((inputs,outputs)) to reshape to a 200x200x1 array.batch(BATCHSIZE)

data = data.reshape(-1,200,200,1)

You can transform your data into a dataset and batch it. It should fix your dimension problem.

You can do that by using the following command: tf.data.Dataset.from_tensor_slices((inputs,outputs)).batch(BATCHSIZE)

You can use the following command to reshape to a 200x200x1 array.

data = data.reshape(-1,200,200,1)
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VincFort
VincFort
  • 1.2k
  • 12
  • 32

You can usetransform your data into a dataset and batch it. It should fix your dimension problem.

You can do that by using the following command to reshape to a 200x200x1 array: tf.data.Dataset.from_tensor_slices((inputs,outputs)).batch(BATCHSIZE)

data = data.reshape(-1,200,200,1)

You can use the following command to reshape to a 200x200x1 array.

data = data.reshape(-1,200,200,1)

You can transform your data into a dataset and batch it. It should fix your dimension problem.

You can do that by using the following command: tf.data.Dataset.from_tensor_slices((inputs,outputs)).batch(BATCHSIZE)

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VincFort
VincFort
  • 1.2k
  • 12
  • 32