Xception-Keras
A cleaned version of XceptionNet in Keras, Xception is one of the best models used for Image Classification.
Xception is a Convolutional Neural Network, which is capable of
producing state-of-the-art results. Xception is comparatively a more
efficient model and the weight files produced are also smaller compared
to other models.
You can use this cleaned version of the Xception model to produce
state-of-the-art results, you can also train it on more datasets, the
current weight files are the weights produced by training Xception on
the ImageNet database.
The current model downloads and caches the weights file, you can also
download the weights files seperately and load the weights from the
correct path of the downloaded weights file. You can download it from:https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5
Made with ♥ by Yan Chummar, at 14 Years of Age.