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Keras

Keras Real Time Prediction using ResNet Model

Keras

Keras Home Keras Introduction Keras Installation Keras Backend Configuration Keras Overview of Deep learning Keras Deep learning Keras Modules Keras Layers Keras Customized Layer Keras Models Keras Model Compilation Keras Convolution Neural Network Keras Regression Prediction using MPL Keras Time Series Prediction using LSTM RNN Keras Applications Keras Real Time Prediction using ResNet Model Keras Pre-Trained Models

Keras Real Time Prediction using ResNet Model

< Keras Applications

Keras Pre-Trained Models >

ResNet is a pre-trained model in Keras that is trained with the help of ImageNet. You can refer to the following syntax to better understand the concept:

keras.applications.resnet.ResNet50 (
   include_top = True, 
   weights = 'imagenet', 
   input_tensor = None, 
   input_shape = None, 
   pooling = None, 
   classes = 800
)

 

< Keras Applications

Keras Pre-Trained Models >

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