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Fix broken link.
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rxwei authored Mar 8, 2019
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Expand Up @@ -149,7 +149,7 @@ Here is a detailed explanation of the `Differentiable` protocol:
* Manifold operations.
* These currently involve `tangentVector(from:)` and `moved(along:)`. These operations can be useful for implementing manifold-related algorithms, like optimization on manifolds, but are not relevant for simple differentiation use cases.

The standard library defines conformances to the `Differentiable` protocol for `Float`, `Double`, and `Float80`. Conditional conformances will be added to floating-point [SIMD vector types](SIMD). The [`Tensor`][TensorFlow_Tensor] type defined in the TensorFlow library also conditionally conforms to `Differentiable`:
The standard library defines conformances to the `Differentiable` protocol for `Float`, `Double`, and `Float80`. Conditional conformances will be added to floating-point [SIMD vector types][SIMD]. The [`Tensor`][TensorFlow_Tensor] type defined in the TensorFlow library also conditionally conforms to `Differentiable`:

```swift
extension Float: Differentiable {
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