Haiping

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The `iou_mask` is `NDArray`. ![image](https://user-images.githubusercontent.com/1705364/66269842-048ec980-e813-11e9-8e33-fa624271ace2.png) It means we use different ways in different dimension to select elements. One approach my idea is: Define a `IIndex` interface, `NDArray` and `Slice` implement...

Not only for masking, but also for any 1d array. We don’t have to have int to IIndex implicitly, we can use np.array(1) as alternative. The goal is having people...

@henon This situation doesn't work: `iou_mask` is `NDArray`, `yind` and `xind` are `int`: ![image](https://user-images.githubusercontent.com/1705364/66691314-0addd500-ec5b-11e9-816f-be0dd63f9d0a.png) ![image](https://user-images.githubusercontent.com/1705364/66691447-0fef5400-ec5c-11e9-8368-d9f01b5ea440.png)

Remove NumSharp reference, just reference TensorFlow.NET project. It will include NumSharp automatically.

Remove project reference means remove it from package. ![image](https://user-images.githubusercontent.com/1705364/101682026-ae29a600-3a28-11eb-8fad-6b9496827314.png) You still need: ```csharp using Numsharp; ``` The easiest step is just follow this [sample project](https://github.com/SciSharp/SciSharp-Stack-Examples).

@Nucs Do you have any plan on `String` support?

@aidevnn Join us, build Deep Learning library based on current work.

@aidevnn Is `NDProxy` like a kind of Expression/ Func/ Delegate ? It can be executed after all operations have been decided ?

https://docs.scipy.org/doc/numpy/reference/generated/numpy.rot90.html