Contents

qoncept/tensorswift

_TensorSwift_ is a lightweight library to calculate tensors, which has similar APIs to [_TensorFlow_](https://www.tensorflow.org/)'s. _TensorSwift_ is useful to simulate calculating tensors in Swift **using models trained by _TensorFlow_**.

Deep MNIST for Experts

[deep-mnist.gif]

The following code shows how to simulate Deep MNIST for Experts, a tutorial of TensorFlow, by TensorSwift.

public struct Classifier {
    public let W_conv1: Tensor
    public let b_conv1: Tensor
    public let W_conv2: Tensor
    public let b_conv2: Tensor
    public let W_fc1: Tensor
    public let b_fc1: Tensor
    public let W_fc2: Tensor
    public let b_fc2: Tensor
    
    public func classify(_ x_image: Tensor) -> Int {
        let h_conv1 = (x_image.conv2d(filter: W_conv1, strides: [1, 1, 1]) + b_conv1).relu()
        let h_pool1 = h_conv1.maxPool(kernelSize: [2, 2, 1], strides: [2, 2, 1])
        
        let h_conv2 = (h_pool1.conv2d(filter: W_conv2, strides: [1, 1, 1]) + b_conv2).relu()
        let h_pool2 = h_conv2.maxPool(kernelSize: [2, 2, 1], strides: [2, 2, 1])
        
        let h_pool2_flat = h_pool2.reshaped([1, Dimension(7 * 7 * 64)])
        let h_fc1 = (h_pool2_flat.matmul(W_fc1) + b_fc1).relu()
        
        let y_conv = (h_fc1.matmul(W_fc2) + b_fc2).softmax()

        return y_conv.elements.enumerated().max { $0.1 < $1.1 }!.0
    }
}

Installation

Swift Package Manager

.Package(url: "git@github.com:qoncept/TensorSwift.git", from: "0.2.0"),

CocoaPods

pod 'TensorSwift', '~> 0.2'

Carthage

github "qoncept/TensorSwift" ~> 0.2

License

The MIT License

Package Metadata

Repository: qoncept/tensorswift

Default branch: master

README: README.md