Add full convolutional and depthwise separable convolutional models from Gallery

models/ILSVRC2012/BrazilianGuava/BrazilianGuava.cntk.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:72ede7cbca80f7eea3c7aea7926a25c48452e4d31cdf6fd4b0c8d9a787e14f63
+size 6661915

models/ILSVRC2012/BrazilianGuava/BrazilianGuava.ell.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f615ca7d19e9eb33518aea847b7738ed184e2a3b6ae2d1e1bfe6ef6be70451d2
+size 8098128

models/ILSVRC2012/BrazilianGuava/args.json

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+{
+  "max_epochs": 112,
+  "minibatch_size": 128,
+  "epoch_size": 1281167,
+  "warm_up": 0,
+  "l2_reg_weight": 0.0001,
+  "restore": true,
+  "block_size": null,
+  "lr_scale": 1.0,
+  "num_quantization_bits": 32,
+  "momentum": 0.9,
+  "keep_all_checkpoints": false
+}

models/ILSVRC2012/BrazilianGuava/modelargs.json

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+{
+  "separable_convs": false,
+  "filter_size": 3,
+  "trainer": "CNTK 2.3.1",
+  "name": "resnetconf_I64x64x3_ADS",
+  "series": "resnetconf",
+  "activation_function": "relu",
+  "filters_per_layer": [
+    1,
+    1,
+    0,
+    0
+  ],
+  "depth_multiplier": 1,
+  "model": "resnetconf",
+  "num_classes": 1000,
+  "retargeting_layers": -1,
+  "image_size": 64,
+  "increase_factor": 112,
+  "index": 0
+}

models/ILSVRC2012/BrazilianGuava/test_eval.json

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+{
+  "average_top5_error": 0.3136,
+  "average_top1_error": 0.55992,
+  "total_samples": 50000,
+  "average_loss": 2.5629381604003907
+}

models/ILSVRC2012/BrazilianGuava/validation_pi3.out

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+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.08399379253387451
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.07178699970245361
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.069549560546875
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.06952202320098877
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.07097363471984863
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.06863397359848022
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.0695905089378357
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.07074886560440063
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.06840157508850098
+Looking for: resnetconf_I64x64x3_ADS in 
+Found input_shape [64,64,3]
+Average prediction time: 0.06957942247390747
+Total time: 969.192139 ms	count: 5
+Total time: 1313.656982 ms	count: 10
+Total time: 1654.028809 ms	count: 15
+Total time: 1988.935547 ms	count: 20
+Total time: 2329.241455 ms	count: 25
+Total time: 2665.808838 ms	count: 30
+Total time: 3000.691895 ms	count: 35
+Total time: 3340.847168 ms	count: 40
+Total time: 3676.405518 ms	count: 45
+Total time: 4011.680420 ms	count: 50
+Process has exited

models/ILSVRC2012/Coconut/Coconut.cntk.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f5858a99afb313c4e91958e43e037113f2830e491e4ce8defa9e90a29595e992
+size 3083085

models/ILSVRC2012/Coconut/Coconut.ell.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a75cdea8c55b9a8e7117319f8deee3bd87e2f1232da2f14a98bee32f63b99efc
+size 3635323

models/ILSVRC2012/Coconut/args.json

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+{
+  "keep_all_checkpoints": false,
+  "epoch_size": 1281167,
+  "momentum": 0.9,
+  "max_epochs": 112,
+  "num_quantization_bits": 32,
+  "l2_reg_weight": 0.0001,
+  "warm_up": 0,
+  "lr_scale": 1.0,
+  "restore": true,
+  "minibatch_size": 128,
+  "block_size": null
+}

models/ILSVRC2012/Coconut/modelargs.json

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+{
+  "depth_multiplier": 1,
+  "index": 0,
+  "name": "resnetconf_I64x64x3_ADS",
+  "filters_per_layer": [
+    1,
+    2,
+    2,
+    2
+  ],
+  "num_classes": 1000,
+  "trainer": "CNTK 2.5.1",
+  "retargeting_layers": -1,
+  "activation_function": "relu",
+  "image_size": 64,
+  "separable_convs": true,
+  "model": "resnetconf",
+  "series": "resnetconf",
+  "filter_size": 3
+}

models/ILSVRC2012/Coconut/test_eval.json

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+{
+  "average_top1_error": 0.55588,
+  "average_top5_error": 0.30592,
+  "total_samples": 50000,
+  "average_loss": 2.5266755794906617
+}