Efficient Net B6

GPTKB entity

Statements (74)
Predicate Object
gptkbp:instance_of gptkb:neural_networks
gptkbp:application Image classification
gptkbp:architecture gptkb:Efficient_Net
gptkbp:based_on Compound scaling
gptkbp:dataset_trained_on gptkb:Image_Net
gptkbp:designed_for Mobile and edge devices
gptkbp:developed_by gptkb:Google_AI
gptkbp:focus_area gptkb:True
gptkbp:has_achieved State-of-the-art results
https://www.w3.org/2000/01/rdf-schema#label Efficient Net B6
gptkbp:influenced_by gptkb:Dense_Net
gptkb:Res_Net
gptkbp:input_output 528x528
gptkbp:is_a_framework_for gptkb:Tensor_Flow
gptkbp:is_compared_to gptkb:Efficient_Net_B0
gptkb:Efficient_Net_B1
gptkb:Efficient_Net_B2
gptkb:Efficient_Net_B3
gptkb:Efficient_Net_B4
gptkb:Efficient_Net_B5
gptkbp:is_optimized_for Accuracy and efficiency
gptkbp:license Apache License 2.0
gptkbp:notable_feature Efficient scaling of depth, width, and resolution
gptkbp:orbital_period Billion
gptkbp:performance Top-1 accuracy
gptkbp:pretrained_models_available gptkb:Yes
gptkbp:release_year gptkb:2020
gptkbp:repository gptkb:Git_Hub
gptkbp:successor gptkb:Efficient_Net_B7
gptkbp:supports_multi_gputraining gptkb:Yes
gptkbp:supports_transfer_learning gptkb:Yes
gptkbp:top1_accuracy 84.4%
gptkbp:top5_accuracy 97.1%
gptkbp:tuning gptkb:True
gptkbp:uses Swish activation function
gptkbp:uses_adam_optimizer gptkb:True
gptkbp:uses_aug_mix gptkb:True
gptkbp:uses_auto_augment gptkb:True
gptkbp:uses_batch_normalization gptkb:True
gptkbp:uses_cross_validation gptkb:True
gptkbp:uses_cut_mix_training gptkb:True
gptkbp:uses_cutout gptkb:True
gptkbp:uses_data_augmentation gptkb:True
gptkbp:uses_drop_connect gptkb:True
gptkbp:uses_dropout gptkb:True
gptkbp:uses_early_stopping gptkb:True
gptkbp:uses_ensemble_methods gptkb:True
gptkbp:uses_generative_adversarial_networks gptkb:True
gptkbp:uses_global_average_pooling gptkb:True
gptkbp:uses_gradient_clipping gptkb:True
gptkbp:uses_hyperparameter_tuning gptkb:True
gptkbp:uses_image_net_preprocessing gptkb:True
gptkbp:uses_keras gptkb:True
gptkbp:uses_l2_regularization gptkb:True
gptkbp:uses_label_smoothing gptkb:True
gptkbp:uses_learning_rate_scheduler gptkb:True
gptkbp:uses_mixed_precision_training gptkb:True
gptkbp:uses_mixup_training gptkb:True
gptkbp:uses_model_averaging gptkb:True
gptkbp:uses_model_checkpointing gptkb:True
gptkbp:uses_neural_architecture_search gptkb:True
gptkbp:uses_rand_augment gptkb:True
gptkbp:uses_random_erasing gptkb:True
gptkbp:uses_reinforcement_learning gptkb:True
gptkbp:uses_self_supervised_learning gptkb:True
gptkbp:uses_semi_supervised_learning gptkb:True
gptkbp:uses_squeeze_excitation gptkb:True
gptkbp:uses_tensor_board gptkb:True
gptkbp:uses_tfrecord_format gptkb:True
gptkbp:uses_transfer_learning gptkb:True
gptkbp:uses_unsupervised_learning gptkb:True
gptkbp:uses_variational_autoencoders gptkb:True
gptkbp:bfsParent gptkb:Efficient_Net
gptkbp:bfsLayer 5