From ff849c54efd2721feb929b55871b63ed9a9bba22 Mon Sep 17 00:00:00 2001 From: David Soergel Date: Fri, 30 Mar 2018 14:58:16 -0400 Subject: [PATCH] Fix broken link (#43) --- polynomial-regression-core/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/polynomial-regression-core/README.md b/polynomial-regression-core/README.md index f95e99435..7090d3ce1 100644 --- a/polynomial-regression-core/README.md +++ b/polynomial-regression-core/README.md @@ -2,4 +2,4 @@ This example shows you how to use TensorFlow.js operations and optimizers (the lower level api) to write a simple model that learns the coefficients of polynomial that we want to use to describe our data. In this toy example, we generate synthetic data by adding some noise to a polynomial function. Then starting with random coefficients, we train a model to learn the true coefficients that data was generated with. -[See this example live!](https://storage.googleapis.com/tfjs-examples/dist/polynomial-regression-core/index.html) +[See this example live!](https://storage.googleapis.com/tfjs-examples/polynomial-regression-core/dist/index.html)