Keras implementation of Google's inception v4 model with ported weights!

As described in: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi)

Note this Keras implementation tries to follow the tf.slim definition as closely as possible.

Pre-Trained weights for this Keras model can be found here: https://github.com/kentsommer/keras-inceptionV4/releases

Once you have downloaded the inception_v4_pretrained.h5, you can evaluate a sample image by performing the following:

• $ python evaluate_image.py

Class is: African elephant, Loxodonta africana
Certainty is: 0.938018

I will be verifying and posting these performance metrics within the next week and a half (by 2/7/2017)