diff --git a/website/src/Bird_CNN.jsx b/website/src/Bird_CNN.jsx index d5ff68c..894947e 100644 --- a/website/src/Bird_CNN.jsx +++ b/website/src/Bird_CNN.jsx @@ -96,7 +96,7 @@ function Bird_CNN() {
- + @@ -140,9 +140,7 @@ function Bird_CNN() {

Model Architecture

- The model used for classification is a convolutional neural network (CNN) based on depthwise separable convolutions, as introduced in the - Xception: Deep Learning with Depthwise Separable Convolutions - paper by François Chollet. The model uses who knows how many layers, a dropout and multiple batchnormalsation. + The model used for classification is a convolutional neural network. The model uses who knows how many layers, a dropout and multiple batchnormalsation.
diff --git a/website/src/Homepage.jsx b/website/src/Homepage.jsx index 0ad15cb..af346ee 100644 --- a/website/src/Homepage.jsx +++ b/website/src/Homepage.jsx @@ -1,7 +1,7 @@ function Homepage() { return ( <> -

Ignore this page

+

Work in Progress, ignore this page and visit other Pages

); } diff --git a/website/src/Menu.css b/website/src/Menu.css index 46c0094..b4a1963 100644 --- a/website/src/Menu.css +++ b/website/src/Menu.css @@ -20,6 +20,8 @@ display: flex; align-items: center; justify-content: center; + font-size: 1.1rem; + font-weight: bold; } .navbar-item:hover { diff --git a/website/src/index.css b/website/src/index.css index 62b63c6..2aff8ff 100644 --- a/website/src/index.css +++ b/website/src/index.css @@ -3,7 +3,7 @@ html { color: rgb(255, 255, 255); font-size: 1rem; line-height: 1.7; - + } body { @@ -24,5 +24,5 @@ h4 { } * { - box-sizing: border-box; + box-sizing: border-box; } \ No newline at end of file