smaller update

doc/pub/week39/html/week39-reveal.html

@@ -3770,7 +3770,7 @@ derivative_fn = grad(sum_logistic)
 <h2 id="weekend-challenge">Weekend challenge </h2>
 
 <ul>
-<p><li> Try to run the above codes and implement the stochastic gradient descent with RMSprop and ADAM.</li>
+<p><li> Try to run the above codes and implement the stochastic gradient descent with the ADAM. Here you can use as examples the Adagrad and the RMSprop algorithms.</li>
 <p><li> Add a more complicated function and study the rate of convergence for the derivatives as function of the different methods</li>
 <p><li> Extend from linear regression to logistic regression.</li>
 </ul>

doc/pub/week39/html/week39-solarized.html

@@ -3705,7 +3705,7 @@ derivative_fn = grad(sum_logistic)
 <h2 id="weekend-challenge">Weekend challenge </h2>
 
 <ul>
-<li> Try to run the above codes and implement the stochastic gradient descent with RMSprop and ADAM.</li>
+<li> Try to run the above codes and implement the stochastic gradient descent with the ADAM. Here you can use as examples the Adagrad and the RMSprop algorithms.</li>
 <li> Add a more complicated function and study the rate of convergence for the derivatives as function of the different methods</li>
 <li> Extend from linear regression to logistic regression.</li>
 </ul>

doc/pub/week39/html/week39.html

@@ -3782,7 +3782,7 @@ derivative_fn <span style="color: #666666">=</span> grad(sum_logistic)
 <h2 id="weekend-challenge">Weekend challenge </h2>
 
 <ul>
-<li> Try to run the above codes and implement the stochastic gradient descent with RMSprop and ADAM.</li>
+<li> Try to run the above codes and implement the stochastic gradient descent with the ADAM. Here you can use as examples the Adagrad and the RMSprop algorithms.</li>
 <li> Add a more complicated function and study the rate of convergence for the derivatives as function of the different methods</li>
 <li> Extend from linear regression to logistic regression.</li>
 </ul>

doc/src/week39/week39.do.txt

@@ -2633,6 +2633,6 @@ print(derivative_fn(x_small))
 !split
 ===== Weekend challenge =====
 
-* Try to run the above codes and implement the stochastic gradient descent with RMSprop and ADAM.
+* Try to run the above codes and implement the stochastic gradient descent with the ADAM. Here you can use as examples the Adagrad and the RMSprop algorithms.
 * Add a more complicated function and study the rate of convergence for the derivatives as function of the different methods
 * Extend from linear regression to logistic regression.