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I have been following github repository for "Tensorflow on Android".
This link, shows all the inception models but not inception5h. The demo application for tensorflow on github uses inception5h, as shown here
new_http_archive(
name = "inception5h",
build_file = "models.BUILD",
url = "https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip",
sha256 = "d13569f6a98159de37e92e9c8ec4dae8f674fbf475f69fe6199b514f756d4364"
)
Please explain
1.Why it is inception5h and not inceptionV5?
2.Why is inception5h not listed in the models link above?
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Inception-v4 is a convolutional neural network architecture that builds on previous iterations of the Inception family by simplifying the architecture and using more inception modules than Inception-v3. Source: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.
Inception-v4, evolved from GoogLeNet / Inception-v1, has a more uniform simplified architecture and more inception modules than Inception-v3. From the below figure, we can see the top-1 accuracy from v1 to v4. And Inception-v4 is better than ResNet.
Inception V3 is similar to and contains all the features of Inception V2 with following changes/additions: Use of RMSprop optimizer. Batch Normalization in the fully connected layer of Auxiliary classifier. Use of 7×7 factorized Convolution.
Inception Network. An inception network is a deep neural network with an architectural design that consists of repeating components referred to as Inception modules. As mentioned earlier, this article focuses on the technical details of the inception module.
Inception 5h is equivalent to Inception V1. This just comes down to a bit of confusion of what versioning scheme we were publishing things under :)
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