Machine Learning in Elixir: Error in Chapter 9, identifying cats and dogs again

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@seanmor5

The length of the val_paths has to be divisible by the batch number so that the tensors come out the right shape.
You can just add this line

val_paths = Enum.take(val_paths, 224)

after setting the val_paths. I also removed the Enum.take line at the end because the length of the train_paths is 24000 and that is also divisible by a batch size of 32.
so that cell would look like this now:

{test_paths, train_paths} =
  Path.wildcard("train/*.jpg")
  |> Enum.shuffle()
  |> Enum.split(1000)

{test_paths, val_paths} = test_paths |> Enum.split(750)
val_paths = Enum.take(val_paths, 224)

batch_size = 32
target_height = 160
target_width = 160

train_pipeline =
  CatsAndDogs.pipeline_with_augmentations(
    train_paths,
    batch_size,
    target_height,
    target_width
  )

val_pipeline =
  CatsAndDogs.pipeline(
    val_paths,
    batch_size,
    target_height,
    target_width
  )

test_pipeline =
  CatsAndDogs.pipeline(
    test_paths,
    batch_size,
    target_height,
    target_width
  )

# Enum.take(train_pipeline, 1)
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