Make API more easy to use by following python's syntax.

Is it possible change the high level API like what SciSharp’s done? Check the README: https://github.com/SciSharp/TensorFlow.NET.

For example:

using TorchSharp;

var x = new FloatTensor (100);   // 1D-tensor with 100 elements

Will be

using torch = TorchSharp.Torch;

var x = torch.tensor(100)   // 1D-tensor with 100 elements

Mirror API first would make progress be faster that move ML model to .NET world. Project will be done faster than ML.NET. @migueldeicaza When most of the thing runs well, we can refactor code that be more .NET conventions.

[Oceania2018]

We could reactive the KerasSharp, wrap the TorchSharp and TensorFlow.NET or TensorFlowSharp, ML.NET and CNTK.

[dsyme]

Just to note that if I was starting this repo from scratch, I would make it part of SciSharp, and follow SciSharp’s naming conventions (i.e. use PyTorch Python naming conventions)

But for now we will stick to the naming conventions we have here