update

doc/LectureNotes/_build/html/_sources/schedule.md

@@ -89,16 +89,13 @@ For the reading assignments we use the following abbreviations:
 
 ###  Week 39 September 26-30
 - Lab Wednesday: Work on  Project 1
-- Lecture Thursday: Gradient Optimization methods
-  - Video of Lecture at 
-- Lecture Friday:  Gradient methods
-  - Video of Lecture at 
-- Reading recommendations:
+- Lecture Thursday: * Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of stochastic gradient descent
+* Friday: Stochastic Gradient descent with examples and automatic differentiation
+
+* Reading recommendations:
   - See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.
 
-
-
 ###  Week 40 October 3-7
 - Lab Wednesday: Wrap up project 1
 - Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of  feed-forward Neural Network code for regression and classification

doc/LectureNotes/_build/html/schedule.html

@@ -524,16 +524,10 @@ const thebe_selector_output = ".output, .cell_output"
 <h3>Week 39 September 26-30<a class="headerlink" href="#week-39-september-26-30" title="Permalink to this headline">¶</a></h3>
 <ul class="simple">
 <li><p>Lab Wednesday: Work on  Project 1</p></li>
-<li><p>Lecture Thursday: Gradient Optimization methods</p>
-<ul>
-<li><p>Video of Lecture at</p></li>
+<li><p>Lecture Thursday: * Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Examples on how to implement Logistic Regression and discussion of stochastic gradient descent</p></li>
 </ul>
-</li>
-<li><p>Lecture Friday:  Gradient methods</p>
-<ul>
-<li><p>Video of Lecture at</p></li>
-</ul>
-</li>
+<ul class="simple">
+<li><p>Friday: Stochastic Gradient descent with examples and automatic differentiation</p></li>
 <li><p>Reading recommendations:</p>
 <ul>
 <li><p>See lecture notes for week 39 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>