[mlpack-git] [mlpack/mlpack] Inception layer (#757)

[Marcus Edel]

> +    // Forward pass for 3x3 pool path. 
> +    pool3.InputParameter() = input;
> +    pool3.Forward(input, pool3.OutputParameter());
> +    Pad(pool3.OutputParameter(), 1, 1, convPool.InputParameter());
> +    convPool.Forward(pool3.OutputParameter(), convPool.OutputParameter());
> +    biasPool.Forward(convPool.OutputParameter(), biasPool.OutputParameter());
> +    basePool.InputParameter() = biasPool.OutputParameter();
> +    basePool.Forward(convPool.OutputParameter(), basePool.OutputParameter());
> +
> +    // concatenate outputs of all the paths.
> +    output = arma::join_slices( 
> +              arma::join_slices(
> +                arma::join_slices( 
> +                  base1.OutputParameter(), base3.OutputParameter() ), 
> +                  base5.OutputParameter() ), basePool.OutputParameter());
> +

Since the network class initializes the weights, you have to define the size e.g. using:

```
weights.set_size(rows, cols);
```

Since the inception layer combines different layer, we have to calculate the overall weight dimension accordingly. You can get the weight dimension of each layer by calling the weight function:

```
conv1.Weights().n_rows
conv1.Weights().n_cols
```



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