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I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My with 8G memory.

My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

Even I use File object, the Out of Core training, it also gives the error information, and has limit number of training set.

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

Even I use File object, the Out of Core training, it also gives the error information, and has limit number of training set.

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 with 8G memory.

My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

Even I use File object, the Out of Core training, it also gives the error information, and has limit number of training set.

4 added 128 characters in body
source | link

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

Even I use File object, the Out of Core training, it also gives the error information, and has limit number of training set.

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

Even I use File object, the Out of Core training, it also gives the error information, and has limit number of training set.

3 added 197 characters in body
source | link

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.

I can train NetModel's models with CPU. I'm on Windows 10 with Mathematica 11.2 GPU is GTX1080 My datasets is 1000 pictures with 224*224.

I can train some NetModel like Inception V1 Trained on ImageNet Competition Data with TargetDevice->"GPU"

But I cannot train some NetModel like ResNet-152 Trained on ImageNet Competition Data with TargetDevice->"GPU"

NetTrain::interr: An internal error occurred. Please contact Wolfram Research.

Since I can train some model with GPU, I think my graphics card driver is OK. Since I can train them with CPU, I think Mathematica implement their layers.

I can use ImageRestyle with TargetDevice->"GPU", if I encounter with the problem An internal error occurred in training NetModel, then ImageRestyle also gives the same error information unless I Quit or Restart Mathematica.


I can train with GPU:

"Inception V1 Trained on ImageNet Competition Data"

"Wolfram ImageIdentify Net for WL 11.1"

"Yahoo Open NSFW Model V1"

"SqueezeNet V1.1 Trained on ImageNet Competition Data" crashes my kernel like Quit.


Well, some net can be trained with 20/30 pictures, but some can be trained by 1000 pictures....I'm not sure whether this is normal?

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