Shenoy Pratik

@Cpruce I went through the commit superficially, just wanted to ask if you have trained the mobilenet with pretrained-imagenet weights or not and If so can you add the fucntionality...

I just checked it, It should be mobilenet_1_0_224_tf_no_top.h5 that is to be used. "No top file" does not include the final layers like Global Avg pooling/Final Fc/Softmax. [link for mobilenet_1_0_224_tf_no_top.h5](https://github.com/fchollet/deep-learning-models/releases/download/v0.6/mobilenet_1_0_224_tf_no_top.h5)...

@JonathanCMitchell have you tried using Depthwise separable layers before on FPN? Can you help me understand how will it be different than TimeDistributed layer. If I understand correctly, even in...

@luoshanwei You'll need to export the keras checkpoint to tensorflow .pb file and then use it.

@ericj974 Yes, it is complete I had tried exporting the file. It works! just waiting for the merge.

@Cpruce to have the exported file in github, we can upload it as a binary file in the next release (similar to model releases).

**Index data** ``` POST test-index/_doc/1 { "@timestamp": "2099-11-15T13:12:00", "message": "Hello World", "user": { "id": "sql_user" } } ``` **Index mapping** ``` GET test-index/_mapping Response: { "test-index" : { "mappings" :...

@prudhvigodithi I'm currently aligning 1.x and 2.x branches. Do we have to update main to 3.0?

Updated 1.x and created 2.x from main. @prudhvigodithi please feel free to re-open the issue, if the main needs to be updated to 3.0

@prudhvigodithi waiting for ml-commons to merge in 3.0