Xception

GPTKB entity

Statements (53)
Predicate Object
gptkbp:instance_of gptkb:neural_networks
gptkbp:application Image Classification
gptkbp:architecture gptkb:Deep_Learning
gptkbp:based_on Inception Module
gptkbp:developed_by gptkb:François_Chollet
https://www.w3.org/2000/01/rdf-schema#label Xception
gptkbp:image_processing gptkb:stage_adaptation
gptkbp:input_output 299x299
gptkbp:is_a_framework_for gptkb:Keras
gptkbp:language gptkb:Python
gptkbp:license MIT License
gptkbp:notable_feature Scalable architecture
Widely used in research
Used in various competitions
Efficient computation
Flexible input size
Pre-trained models available
Compatible with Tensor Flow
Can be deployed on mobile devices
Can be used for anomaly detection
Can be used for facial recognition
Can be used for game AI
Can be used for generative tasks
Can be used for medical image analysis
Can be used for natural language processing
Can be used for object detection
Can be used for recommendation systems
Can be used for reinforcement learning
Can be used for robotics
Can be used for segmentation tasks
Can be used for speech recognition
Can be used for style transfer
Can be used for time series forecasting
Can be used for video analysis
Good for fine-tuning
High accuracy on large datasets
Robust to overfitting
Supports mixed precision training
Supports model quantization
Supports multi-GPU training
gptkbp:orbital_period 22,910,480
gptkbp:performance Top-1 Accuracy
Top-5 Accuracy
gptkbp:predecessor gptkb:Inception-v3
gptkbp:provides_information_on gptkb:Image_Net
gptkbp:release_year gptkb:2017
gptkbp:successor gptkb:Efficient_Net
gptkbp:training Varies by hardware
gptkbp:uses Depthwise Separable Convolutions
gptkbp:uses_batch_normalization gptkb:True
gptkbp:uses_dropout gptkb:True
gptkbp:bfsParent gptkb:tf.keras.applications
gptkbp:bfsLayer 5