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TensorFlow 1 version
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CIFAR100 small images classification dataset.
Functions
load_data(...): Loads CIFAR100 dataset.
TensorFlow
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- v1.nest.Overview
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- v1.summary.initialize
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- v1.sysconfig.Overview
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- v1.train.ChiefSessionCreator
- v1.train.cosine_decay
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- v1.train.do_quantize_training_on_graphdef
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- v1.train.get_checkpoint_mtimes
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- v1.train.global_step
- v1.train.GradientDescentOptimizer
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- v1.train.input_producer
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- v1.train.MomentumOptimizer
- v1.train.MonitoredSession
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- v1.train.MonitoredTrainingSession
- v1.train.natural_exp_decay
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- v1.train.SessionCreator
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- v1.train.SingularMonitoredSession
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-
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- v2.data.Overview
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- Overview
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-
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- Overview
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- experimental.enumerate_dataset
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- experimental.group_by_reducer
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- experimental.RandomDataset
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- experimental.scan
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- Overview
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- Overview
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- Overview
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- BaselineClassifier
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- CheckpointSaverHook
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- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
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- ModeKeys
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- MultiLabelHead
- NanLossDuringTrainingError
- NanTensorHook
- PoissonRegressionHead
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- regressor_parse_example_spec
- RunConfig
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- SessionRunArgs
- SessionRunContext
- SessionRunHook
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- StepCounterHook
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- TrainSpec
- train_and_evaluate
- VocabInfo
- WarmStartSettings
-
- experimental.Overview
- experimental.build_raw_supervised_input_receiver_fn
- experimental.call_logit_fn
- experimental.InMemoryEvaluatorHook
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- experimental.RNNClassifier
- experimental.RNNEstimator
- experimental.stop_if_higher_hook
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- Overview
- bucketized_column
- categorical_column_with_hash_bucket
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- crossed_column
- embedding_column
- indicator_column
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
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- sequence_categorical_column_with_vocabulary_list
- sequence_numeric_column
- shared_embeddings
- weighted_categorical_column
- Overview
- adjust_brightness
- adjust_contrast
- adjust_gamma
- adjust_hue
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- central_crop
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- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
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- random_crop
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- random_hue
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- random_saturation
- resize
- ResizeMethod
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- resize_with_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
- sample_distorted_bounding_box
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- Overview
- decode_and_crop_jpeg
- decode_base64
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- applications.imagenet_utils.preprocess_input
- applications.inception_resnet_v2.Overview
- applications.inception_resnet_v2.decode_predictions
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- applications.inception_v3.Overview
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- applications.mobilenet.Overview
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- applications.mobilenet_v2.Overview
- applications.mobilenet_v2.decode_predictions
- applications.mobilenet_v2.preprocess_input
- applications.nasnet.Overview
- applications.nasnet.decode_predictions
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- applications.resnet_v2.preprocess_input
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- datasets.Overview
- datasets.boston_housing.Overview
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- losses.Overview
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- metrics.Overview
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- metrics.deserialize
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- metrics.Hinge
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- metrics.serialize
- metrics.SparseCategoricalAccuracy
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- metrics.sparse_categorical_accuracy
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- metrics.SpecificityAtSensitivity
- metrics.SquaredHinge
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- optimizers.Overview
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- preprocessing.Overview
- preprocessing.image.Overview
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- preprocessing.image.NumpyArrayIterator
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- preprocessing.sequence.Overview
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- utils.Overview
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- Overview
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- Overview
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- Overview
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