Hi, Thanks for watching. If we run in our local machine, it takes times as per system configuration.

Glad to hear that!

Hi, Thanks for watching. Could you please copy paste the exact error/exception messages here. There might be chance, you need to update visual studio and model builder.

@@BiswaRanjan I am running VS 2019 Community, v16.7.6. I updated it yesterday. The error I am getting: System.IO.FileNotFoundException: Microsoft.ML.Data, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51. Could not load file or one of its dependencies

@@BiswaRanjan that error is referenced to the output prediction line in the code btw

@@sukeshsubaharan4324 Please confirm, you are using .Net Core not .Net Framework. If you are using .Net Core then please check below. Could you check if Microsoft.ML is installed correctly, Seems that it can't load the right assembly. Model Builder should install Microsoft.ML automatically in generated console app and Model project. If possible, could you create a new project and start a new train to see if the DLL is not found exception happened again? And also check if Microsoft.ML installed correctly in the generated console app and Model project? If still the issue is persists you need to reinstall the VS2019.

@@BiswaRanjan thank you! I will try this and let you know.

Hi, Please download the source code at : easyupload.io/i336ea

Hi curry , unfortunately due low space I deleted source code. Very soon I am going to create same video from .Net core 6 web.API, I will update you over that.

In the Added ConsoleApp application in your solutions, please look for the ModelBuilder.cs -> public static ITransformer TrainModel() you will get the ideas to train your model after new input. Thank you for watching.

When the console app creating, There is modelbuilder.cs file, in there please check for Train() method. you can use like wise

@@BiswaRanjan actually i created the Model in 2022 it did not create ModelBuilder , iam waiting ... also iam wishing if you save the Model and load it to be used for consumption . thanks in advace

That's a good question. I will try and update you.

Hi, I will a create video on coming sessions. Please stay tuned, enjoy and learn. Thank you for watching.

Thanks

@@BiswaRanjan also loading and saving a trained Model to be consumed. iam waiting thanks in advance

Could you please send the exact exception message?

@@BiswaRanjan Tensorflow exception triggered while loading model. at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw() at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task) at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.AutoMLExperiment`3.d__21.MoveNext() in /_/src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/AutoMLExperiment.cs:line 108 --- End of stack trace from previous location where exception was thrown --- at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw() at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task) at Microsoft.ML.ModelBuilder.AutoMLEngine.d__30.MoveNext() in /_/src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 147

​@@sanketmetkar Sorry for late reply. My response:- When a system facing performance issue like the below scenario : 1- Machine configuration is slow. 2- Trying to train the model with large size of the image, when the system is slow. I suggest trying to close all your application from the machine and first try with a small amount of image. If is working or not. If it working then again train the model by putting all images in the specified folder. Try to update Visual studio 2019 16.7.

@@BiswaRanjan i tried all the ways but still same error. don't know what is happening

@@sanketmetkar Please try to use the below pipeline and check again. var trainingPipeline = mapLabelTransform .Append(mlContext.Model.ImageClassification( "ImagePath", "LabelAsKey", arch: ImageClassificationEstimator.Architecture.ResnetV2101, epoch: 100, batchSize: 30, metricsCallback: (metrics) => Console.WriteLine(metrics)));

FILE NOT FOUND error