Train a deep learning image classification model with ML.NET and TensorFlow

1.5 mlnet update (#839)

* update ml.net versions

* update proj to .net core 3.1

* shorten ccfraud project / file name

Fixes Error MSB3491

* update image classification training solution to .net core 3

* update ranking sample to .net core 3.1

* Update BikeDemandForecasting.csproj

* update to .net core 3.1 to fix errors

* Update samples/csharp/getting-started/DeepLearning_ImageClassification_Training/ImageClassification.Train/assets/inputs/images/flower_photos_small_set/LICENSE.txt

Co-authored-by: Justin Ormont <[email protected]>

* Update samples/csharp/getting-started/DeepLearning_ImageClassification_Training/ImageClassification.Train/assets/inputs/images/flower_photos_small_set/LICENSE.txt

Co-authored-by: Justin Ormont <[email protected]>

* fix fsharp mnist project

* fix automl taxi fare fsharp project

* fix fsharp shampoo sales anomaly detection project

* fix fsharp power anomaly detection project

* Create PowerAnomalyDetection.sln

* Update project name so web app will build

* fix model explainability project

* fix e2e matrix factorization by updating to .net core 3.1

* update scalable web api to 3.1

* update scalable web api integration to 3.1

* Update Startup.cs

* Shorten length of project name to fix blazor app

* add scisharp package for image classification model consumption

* Create ImageClassification.Score.sln

* Update samples to 1.5 (#841)

* Updated and debuggined ONNX F# sample

* Updates to DL TF Estimator

* Updated OnnxObjectDetectionE2E

* Updated AutoML samples

* Fixed bugs in web app when upgraded to 3.1

* Updated version packages for DL binary

* Updated to net core 3.1

* Fixed bugs in upgrade to 3.1

* Updated READMES

* Delete imageClassifier.zip

Co-authored-by: Justin Ormont <[email protected]>
Co-authored-by: Luis Quintanilla <[email protected]>