tf.keras.applications.EfficientNetB7

Instantiates the EfficientNetB7 architecture.

View aliases

Main aliases

tf.keras.applications.efficientnet.EfficientNetB7

Compat aliases for migration

tf.compat.v1.keras.applications.EfficientNetB7, tf.compat.v1.keras.applications.efficientnet.EfficientNetB7

tf.keras.applications.EfficientNetB7(
    include_top=True, weights='imagenet', input_tensor=None,
    input_shape=None, pooling=None, classes=1000,
    classifier_activation='softmax', **kwargs
)

Reference:

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (ICML 2019)

Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one specified in your Keras config at ~/.keras/keras.json. If you have never configured it, it defaults to "channels_last".

Arguments
`include_top`	Whether to include the fully-connected layer at the top of the network. Defaults to True.
`weights`	One of `None` (random initialization), 'imagenet' (pre-training on ImageNet), or the path to the weights file to be loaded. Defaults to 'imagenet'.
`input_tensor`	Optional Keras tensor (i.e. output of `layers.Input()`) to use as image input for the model.
`input_shape`	Optional shape tuple, only to be specified if `include_top` is False. It should have exactly 3 inputs channels.
`pooling`	Optional pooling mode for feature extraction when `include_top` is `False`. Defaults to None. `None` means that the output of the model will be the 4D tensor output of the last convolutional layer. `avg` means that global average pooling will be applied to the output of the last convolutional layer, and thus the output of the model will be a 2D tensor. `max` means that global max pooling will be applied.
`classes`	Optional number of classes to classify images into, only to be specified if `include_top` is True, and if no `weights` argument is specified. Defaults to 1000 (number of ImageNet classes).
`classifier_activation`	A `str` or callable. The activation function to use on the "top" layer. Ignored unless `include_top=True`. Set `classifier_activation=None` to return the logits of the "top" layer. Defaults to 'softmax'.

Returns
A `keras.Model` instance.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/applications/EfficientNetB7