//ResNet50_Animal_Image_PredictionbyAnsh-Sarkar

ResNet50_Animal_Image_Prediction

Keras Applications are deep learning models that are made available alongside pre-trained weights. These models can be used for prediction, feature extraction, and fine-tuning.

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ResNet50_Animal_Image_Prediction

undefinedThe below mentioned information has been taken from https://keras.io/api/applications/undefined

Getting started

Are you an engineer or data scientist? Do you ship real-world machine learning solutions?
Check out our Introduction to Keras for engineers.

Are you a machine learning researcher? Do you publish at NeurIPS and push the state-of-the-art in CV and NLP?
Check out our Introduction to Keras for researchers.

Keras Applications

Keras Applications are deep learning models that are made available alongside pre-trained weights. These models can be used for prediction, feature extraction, and fine-tuning.

Weights are downloaded automatically when instantiating a model. They are stored at ~/.keras/models/.

Upon instantiation, the models will be built according to the image data format set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_data_format=channels_last, then any model loaded from this repository will get built according to the TensorFlow data format convention, “Height-Width-Depth”.

undefinedPlease refer to the above mentioned URL for further information and sample codeundefined

[beta]v0.14.0