Update documentation

Author: joaquinvanschoren

_sources/intro.md

@@ -38,11 +38,13 @@ Download the lab notebooks and solve the questions locally, or launch them in Go
 | 1 | [Linear Models for regression](https://ml-course.github.io/master/labs/Lab%201a%20-%20Linear%20Models%20for%20Regression) <br> [Linear Models for classification](https://ml-course.github.io/master/labs/Lab%201b%20-%20Linear%20Models%20for%20Classification) | [Tutorial](https://ml-course.github.io/master/labs/Lab%201%20-%20Tutorial) | [Lab 1a](https://ml-course.github.io/master/labs/Lab%201a%20-%20Linear%20Models%20for%20Regression%20Solution) <br> [Lab 1b](https://ml-course.github.io/master/labs/Lab%201b%20-%20Linear%20Models%20for%20Classification%20Solution) (Release date: 12 Feb, 12:00)
 | 2 | [Model Evaluation](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Evaluation) | [Tutorial](https://ml-course.github.io/master/labs/Lab%202%20-%20Tutorial) | [Lab 2](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Evaluation%20Solution) (Release date: 19 Feb, 12:00)
 | 3 | [Ensembles](https://ml-course.github.io/master/labs/Lab%203a%20-%20Ensembles) <br> [Data engineering](https://ml-course.github.io/master/labs/Lab%203b%20-%20Pipelines) | [Tutorial](https://ml-course.github.io/master/labs/Lab%203%20-%20Tutorial) | [Lab 3a](https://ml-course.github.io/master/labs/Lab%203a%20-%20Ensembles%20Solution) <br> [Lab 3b](https://ml-course.github.io/master/labs/Lab%203b%20-%20Pipelines%20Solution) (Release date: 26 Feb, 12:00)
-| 4 | [Neural Networks](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks)<sup>1</sup>  |  [Tutorial](https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial) | [Lab 4](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks%20Solution) (Release date: 12 Mar, 12:00)
+
+<!-- | 4 | [Neural Networks](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks)<sup>1</sup>  |  [Tutorial](https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial) | [Lab 4](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks%20Solution) (Release date: 12 Mar, 12:00)
 | 5 | [Convolutional Neural Networks](https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks)<sup>1</sup>  | / | [Lab 5](https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks%20Solution) (Release date: 19 Mar, 12:00)
 | 6 | [Transformers](https://ml-course.github.io/master/labs/Lab%206%20-%20Transformers)<sup>1</sup>  |  [Tutorial](https://ml-course.github.io/master/labs/Lab%206%20-%20Tutorial) | [Lab 6](https://ml-course.github.io/master/labs/Lab%206a%20-%20Transformers%20Solution) (Release date: 26 Mar, 12:00)
+-->
 
-<sup>1</sup> These labs will be updated by the end of the spring break.
+Labs 4-6 are being redesigned and will be released by the end of the spring break.
 
 ## Background materials
 ### Tutorials

genindex.html

@@ -189,9 +189,6 @@
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%201b%20-%20Linear%20Models%20for%20Classification.html">Lab 1b: Linear classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203a%20-%20Ensembles.html">Lab 3: Ensembles</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203b%20-%20Pipelines.html">Lab 4:  Data preprocessing</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Neural%20Networks.html">Lab 6: Neural networks</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%205%20-%20Convolutional%20Neural%20Networks.html">Lab 7a: Convolutional neural nets</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Transformers.html">Lab 7b: Neural Networks for text</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Tutorials</span></p>
 <ul class="nav bd-sidenav">
@@ -206,8 +203,6 @@
 
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%202%20-%20Tutorial.html">Lab 2: Model Selection in scikit-learn</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203%20-%20Tutorial.html">Lab 4: Data engineering pipelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Tutorial.html">Lab 6: Deep Learning with TensorFlow</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Tutorial.html">Lab 7: Deep Learning for text</a></li>
 </ul>
 
     </div>

intro.html

@@ -193,9 +193,6 @@
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%201b%20-%20Linear%20Models%20for%20Classification.html">Lab 1b: Linear classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203a%20-%20Ensembles.html">Lab 3: Ensembles</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203b%20-%20Pipelines.html">Lab 4:  Data preprocessing</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Neural%20Networks.html">Lab 6: Neural networks</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%205%20-%20Convolutional%20Neural%20Networks.html">Lab 7a: Convolutional neural nets</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Transformers.html">Lab 7b: Neural Networks for text</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Tutorials</span></p>
 <ul class="nav bd-sidenav">
@@ -210,8 +207,6 @@
 
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%202%20-%20Tutorial.html">Lab 2: Model Selection in scikit-learn</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203%20-%20Tutorial.html">Lab 4: Data engineering pipelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Tutorial.html">Lab 6: Deep Learning with TensorFlow</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Tutorial.html">Lab 7: Deep Learning for text</a></li>
 </ul>
 
     </div>
@@ -522,25 +517,14 @@ <h2>Labs<a class="headerlink" href="#labs" title="Link to this heading">#</a></h
 <td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203%20-%20Tutorial">Tutorial</a></p></td>
 <td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203a%20-%20Ensembles%20Solution">Lab 3a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203b%20-%20Pipelines%20Solution">Lab 3b</a> (Release date: 26 Feb, 12:00)</p></td>
 </tr>
-<tr class="row-odd"><td class="text-left"><p>4</p></td>
-<td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks">Neural Networks</a><sup>1</sup></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial">Tutorial</a></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks%20Solution">Lab 4</a> (Release date: 12 Mar, 12:00)</p></td>
-</tr>
-<tr class="row-even"><td class="text-left"><p>5</p></td>
-<td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks">Convolutional Neural Networks</a><sup>1</sup></p></td>
-<td><p>/</p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks%20Solution">Lab 5</a> (Release date: 19 Mar, 12:00)</p></td>
-</tr>
-<tr class="row-odd"><td class="text-left"><p>6</p></td>
-<td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%206%20-%20Transformers">Transformers</a><sup>1</sup></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%206%20-%20Tutorial">Tutorial</a></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%206a%20-%20Transformers%20Solution">Lab 6</a> (Release date: 26 Mar, 12:00)</p></td>
-</tr>
 </tbody>
 </table>
 </div>
-<p><sup>1</sup> These labs will be updated by the end of the spring break.</p>
+<!-- | 4 | [Neural Networks](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks)<sup>1</sup>  |  [Tutorial](https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial) | [Lab 4](https://ml-course.github.io/master/labs/Lab%204%20-%20Neural%20Networks%20Solution) (Release date: 12 Mar, 12:00)
+| 5 | [Convolutional Neural Networks](https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks)<sup>1</sup>  | / | [Lab 5](https://ml-course.github.io/master/labs/Lab%205%20-%20Convolutional%20Neural%20Networks%20Solution) (Release date: 19 Mar, 12:00)
+| 6 | [Transformers](https://ml-course.github.io/master/labs/Lab%206%20-%20Transformers)<sup>1</sup>  |  [Tutorial](https://ml-course.github.io/master/labs/Lab%206%20-%20Tutorial) | [Lab 6](https://ml-course.github.io/master/labs/Lab%206a%20-%20Transformers%20Solution) (Release date: 26 Mar, 12:00)
+-->
+<p>Labs 4-6 are being redesigned and will be released by the end of the spring break.</p>
 </section>
 <section id="background-materials">
 <h2>Background materials<a class="headerlink" href="#background-materials" title="Link to this heading">#</a></h2>

search.html

@@ -191,9 +191,6 @@
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%201b%20-%20Linear%20Models%20for%20Classification.html">Lab 1b: Linear classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203a%20-%20Ensembles.html">Lab 3: Ensembles</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203b%20-%20Pipelines.html">Lab 4:  Data preprocessing</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Neural%20Networks.html">Lab 6: Neural networks</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%205%20-%20Convolutional%20Neural%20Networks.html">Lab 7a: Convolutional neural nets</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Transformers.html">Lab 7b: Neural Networks for text</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Tutorials</span></p>
 <ul class="nav bd-sidenav">
@@ -208,8 +205,6 @@
 
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%202%20-%20Tutorial.html">Lab 2: Model Selection in scikit-learn</a></li>
 <li class="toctree-l1"><a class="reference internal" href="labs/Lab%203%20-%20Tutorial.html">Lab 4: Data engineering pipelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%204%20-%20Tutorial.html">Lab 6: Deep Learning with TensorFlow</a></li>
-<li class="toctree-l1"><a class="reference internal" href="labs/Lab%206%20-%20Tutorial.html">Lab 7: Deep Learning for text</a></li>
 </ul>
 
     </div>

searchindex.js

@@ -192,9 +192,6 @@
 <li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%201b%20-%20Linear%20Models%20for%20Classification.html">Lab 1b: Linear classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%203a%20-%20Ensembles.html">Lab 3: Ensembles</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%203b%20-%20Pipelines.html">Lab 4:  Data preprocessing</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%204%20-%20Neural%20Networks.html">Lab 6: Neural networks</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%205%20-%20Convolutional%20Neural%20Networks.html">Lab 7a: Convolutional neural nets</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%206%20-%20Transformers.html">Lab 7b: Neural Networks for text</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Tutorials</span></p>
 <ul class="nav bd-sidenav">
@@ -209,8 +206,6 @@
 
 <li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%202%20-%20Tutorial.html">Lab 2: Model Selection in scikit-learn</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%203%20-%20Tutorial.html">Lab 4: Data engineering pipelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%204%20-%20Tutorial.html">Lab 6: Deep Learning with TensorFlow</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../labs/Lab%206%20-%20Tutorial.html">Lab 7: Deep Learning for text</a></li>
 </ul>
 
     </div>