Which statement about feature nets is false?
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. Show Weights are downloaded automatically when instantiating a model. They are stored at Upon instantiation, the models will be built according to the image data format set in your Keras configuration file at Available models
The top-1 and top-5 accuracy refers to the model's performance on the ImageNet validation dataset. Depth refers to the topological depth of the network. This includes activation layers, batch normalization layers etc. Time per inference step is the average of 30 batches and 10 repetitions.
Depth counts the number of layers with parameters. Usage examples for image classification modelsClassify ImageNet classes with ResNet50
Fine-tune InceptionV3 on a new set of classes
Build InceptionV3 over a custom input tensor |