Doc Change: Change in shape for CIFAR Datasets #11043
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Both the CIFAR datasets have been updates now having the channel as the last dimension in the shape resulting in (num_samples, 32, 32, 3)
fchollet
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Aug 31, 2018
docs/templates/datasets.md
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| - __Returns:__ | ||
| - 2 tuples: | ||
| - __x_train, x_test__: uint8 array of RGB image data with shape (num_samples, 3, 32, 32). | ||
| - __x_train, x_test__: uint8 array of RGB image data with shape (num_samples, 32, 32, 3). |
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This is incorrect, the shape depends on your image_data_format settings
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Oh! thanks a lot! Your book was fantastic!
The CIFAR datasets download in either channels_first or the channels_last format based on the backend setting.
fchollet
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Aug 31, 2018
jlherren
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Sep 3, 2018
* keras/master: (327 commits) Added in_train_phase and in_test_phase in the numpy backend. (keras-team#11061) Make sure the data_format argument defaults to ‘chanels_last’ for all 1D sequence layers. Speed up backend tests (keras-team#11051) Skipped some duplicated tests. (keras-team#11049) Used decorators and WITH_NP to avoid tests duplication. (keras-team#11050) Cached the theano compilation directory. (keras-team#11048) Removing duplicated backend tests. (keras-team#11037) [P, RELNOTES] Conv2DTranspose supports dilation (keras-team#11029) Doc Change: Change in shape for CIFAR Datasets (keras-team#11043) Fix line too long in mnist_acgan (keras-team#11040) Enable using last incomplete minibatch (keras-team#8344) Better UX (keras-team#11039) Update lstm text generation example (keras-team#11038) fix a bug, load_weights doesn't return anything (keras-team#11031) Speeding up the tests by reducing the number of K.eval(). (keras-team#11036) [P] Expose monitor value getter for easier subclass (keras-team#11002) [RELNOTES] Added the mode "bilinear" in the upscaling2D layer. (keras-team#10994) Separate pooling test from convolutional test and parameterize test case (keras-team#10975) Fix issue with non-canonical TF version name format. Allow TB callback to display float values. ...
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Both the CIFAR datasets have been updates now having the channel as the last dimension in the shape resulting in (num_samples, 32, 32, 3)
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