Add homepage descriptions for week10 and week11 sub-pages

app.py

@@ -14,7 +14,12 @@ with gr.Blocks(title="DDW Machine Learning") as demo:
             """
 <div style="border:1px solid #ddd;border-radius:12px;padding:16px;">
   <h3>Linear Regression</h3>
-  <p>Week10 interface with NumPy Lab, Gradient Descent Studio, and Step Trainer.</p>
+  <p>Week10 interactive pages:</p>
+  <ul>
+    <li><strong>NumPy Matrix Lab:</strong> matrix operations, shape-aware input fields, generated NumPy code, and output visualization.</li>
+    <li><strong>Gradient Descent Studio:</strong> one-feature linear regression optimization with step-level gradients, cost, and trajectory visualization.</li>
+    <li><strong>Linear Regression Step Trainer:</strong> hand-calculation practice for gradients and one-step parameter updates with optional normalization.</li>
+  </ul>
   <a href="/gradio_api/file=linear-regression/index.html" target="_blank" rel="noopener noreferrer">Open Linear Regression Interface</a>
 </div>
 """
@@ -23,7 +28,14 @@ with gr.Blocks(title="DDW Machine Learning") as demo:
             """
 <div style="border:1px solid #ddd;border-radius:12px;padding:16px;">
   <h3>Logistic Regression</h3>
-  <p>Week11 interface with sigmoid, confusion matrix, and cost-function pages.</p>
+  <p>Week11 interactive pages:</p>
+  <ul>
+    <li><strong>Simple Sigmoid:</strong> basic view of sigmoid output from a single z value.</li>
+    <li><strong>Confusion Matrix Practice:</strong> threshold-based classification practice with confusion matrix and metrics.</li>
+    <li><strong>Sigmoid Function:</strong> interactive plot for p = 1 / (1 + exp(-(b0 + b1x))) with parameter controls.</li>
+    <li><strong>Cost Function Visualization:</strong> compare logistic-model cases and observe gradient-descent behavior on the cost surface.</li>
+    <li><strong>Notes:</strong> supporting lecture notes and page context.</li>
+  </ul>
   <a href="/gradio_api/file=logistic-regression/index.html" target="_blank" rel="noopener noreferrer">Open Logistic Regression Interface</a>
 </div>
 """