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.
undefinedThe below mentioned information has been taken from https://keras.io/api/applications/undefined
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 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
We use cookies
We use cookies to analyze traffic and improve your experience. You can accept or reject analytics cookies.