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diff --git a/_sources/intro.md b/_sources/intro.md
@@ -37,14 +37,13 @@ Download the lab notebooks and solve the questions locally, or launch them in Go
 
 |   | Notebooks          |     Tutorial     |    Solutions   |
 |:--|:-------------------|------------------|----------------|
-| 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: 8 Feb, 12:00)
-| 2 | [Kernelization](https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization) <br> [Model Selection](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection) | [Tutorial](https://ml-course.github.io/master/labs/Lab%202%20-%20Tutorial) | [Lab 2a](https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization%20Solution) <br> [Lab 2b](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection%20Solution) (Release date: 15 Feb, 12:00)
-| 3 | [Ensembles](https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles) | / | [Lab 3](https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles%20Solution) (Release date: 1 Mar, 12:00)
-| 4 | [Data engineering](https://ml-course.github.io/master/labs/Lab%204%20-%20Pipelines) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial) | [Lab 4](https://ml-course.github.io/master/labs/Lab%204%20-%20Pipelines%20Solution) (Release date: 8 Mar, 12:00)
-| 5 | [Bayesian learning](https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning) | / | [Lab 5](https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning%20Solution) (Release date: 15 Mar, 12:00)
-| 6 | [Neural Networks](https://ml-course.github.io/master/labs/Lab%206%20-%20Neural%20Networks) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%206%20-%20Tutorial) | [Lab 6](https://ml-course.github.io/master/labs/Lab%206%20-%20Neural%20Networks%20Solution) (Release date: 22 Mar, 12:00)
-| 7 | [Neural Nets for Images](https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks) <br> [Neural Nets for Text](https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%207%20-%20Tutorial) | [Lab 7a](https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks%20Solution) <br> [Lab 7b](https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text%20Solution) (Release date: 29 Mar, 12:00)
-| 8 | [AutoML](https://ml-course.github.io/master/labs/Lab%208%20-%20AutoML) (may change) | / | [Lab 8](https://ml-course.github.io/master/labs/Lab%208%20-%20AutoML%20Solution) (Release date: 5 Apr, 12:00)
+| 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: 7 Feb, 12:00)
+| 2 | [Kernelization](https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization) <br> [Model Selection](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection) | [Tutorial](https://ml-course.github.io/master/labs/Lab%202%20-%20Tutorial) | [Lab 2a](https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization%20Solution) <br> [Lab 2b](https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection%20Solution) (Release date: 21 Feb, 12:00)
+| 3 | [Ensembles](https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles) | / | [Lab 3](https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles%20Solution) (Release date: 28 Feb, 12:00)
+| 4 | [Data engineering](https://ml-course.github.io/master/labs/Lab%204%20-%20Pipelines) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%204%20-%20Tutorial) | [Lab 4](https://ml-course.github.io/master/labs/Lab%204%20-%20Pipelines%20Solution) (Release date: 6 Mar, 12:00)
+| 5 | [Bayesian learning](https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning) | / | [Lab 5](https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning%20Solution) (Release date: 13 Mar, 12:00)
+| 6 | [Neural Networks](https://ml-course.github.io/master/labs/Lab%206%20-%20Neural%20Networks) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%206%20-%20Tutorial) | [Lab 6](https://ml-course.github.io/master/labs/Lab%206%20-%20Neural%20Networks%20Solution) (Release date: 20 Mar, 12:00)
+| 7 | [Neural Nets for Images](https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks) <br> [Neural Nets for Text](https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text) |  [Tutorial](https://ml-course.github.io/master/labs/Lab%207%20-%20Tutorial) | [Lab 7a](https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks%20Solution) <br> [Lab 7b](https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text%20Solution) (Release date: 27 Mar, 12:00)
 
 
 ## Background materials

diff --git a/_sources/notebooks/08 - Neural Networks.ipynb b/_sources/notebooks/08 - Neural Networks.ipynb
diff --git a/_sources/notebooks/09 - Convolutional Neural Networks.ipynb b/_sources/notebooks/09 - Convolutional Neural Networks.ipynb
diff --git a/_sources/notebooks/10 - Neural Networks for text.ipynb b/_sources/notebooks/10 - Neural Networks for text.ipynb
diff --git a/intro.html b/intro.html
@@ -512,42 +512,37 @@ <h2>Labs<a class="headerlink" href="#labs" title="Permalink to this heading">#</
 <tr class="row-even"><td class="text-left"><p>1</p></td>
 <td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201a%20-%20Linear%20Models%20for%20Regression">Linear Models for regression</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201b%20-%20Linear%20Models%20for%20Classification">Linear Models for classification</a></p></td>
 <td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201%20-%20Tutorial">Tutorial</a></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201a%20-%20Linear%20Models%20for%20Regression%20Solution">Lab 1a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201b%20-%20Linear%20Models%20for%20Classification%20Solution">Lab 1b</a> (Release date: 8 Feb, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201a%20-%20Linear%20Models%20for%20Regression%20Solution">Lab 1a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%201b%20-%20Linear%20Models%20for%20Classification%20Solution">Lab 1b</a> (Release date: 7 Feb, 12:00)</p></td>
 </tr>
 <tr class="row-odd"><td class="text-left"><p>2</p></td>
 <td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization">Kernelization</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection">Model Selection</a></p></td>
 <td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202%20-%20Tutorial">Tutorial</a></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization%20Solution">Lab 2a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection%20Solution">Lab 2b</a> (Release date: 15 Feb, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202a%20-%20Kernelization%20Solution">Lab 2a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%202b%20-%20Model%20Selection%20Solution">Lab 2b</a> (Release date: 21 Feb, 12:00)</p></td>
 </tr>
 <tr class="row-even"><td class="text-left"><p>3</p></td>
 <td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles">Ensembles</a></p></td>
 <td><p>/</p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles%20Solution">Lab 3</a> (Release date: 1 Mar, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%203%20-%20Ensembles%20Solution">Lab 3</a> (Release date: 28 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-%20Pipelines">Data engineering</a></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-%20Pipelines%20Solution">Lab 4</a> (Release date: 8 Mar, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%204%20-%20Pipelines%20Solution">Lab 4</a> (Release date: 6 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-%20Bayesian%20learning">Bayesian learning</a></p></td>
 <td><p>/</p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning%20Solution">Lab 5</a> (Release date: 15 Mar, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%205%20-%20Bayesian%20learning%20Solution">Lab 5</a> (Release date: 13 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-%20Neural%20Networks">Neural Networks</a></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%206%20-%20Neural%20Networks%20Solution">Lab 6</a> (Release date: 22 Mar, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%206%20-%20Neural%20Networks%20Solution">Lab 6</a> (Release date: 20 Mar, 12:00)</p></td>
 </tr>
 <tr class="row-even"><td class="text-left"><p>7</p></td>
 <td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks">Neural Nets for Images</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text">Neural Nets for Text</a></p></td>
 <td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207%20-%20Tutorial">Tutorial</a></p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks%20Solution">Lab 7a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text%20Solution">Lab 7b</a> (Release date: 29 Mar, 12:00)</p></td>
-</tr>
-<tr class="row-odd"><td class="text-left"><p>8</p></td>
-<td class="text-left"><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%208%20-%20AutoML">AutoML</a> (may change)</p></td>
-<td><p>/</p></td>
-<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%208%20-%20AutoML%20Solution">Lab 8</a> (Release date: 5 Apr, 12:00)</p></td>
+<td><p><a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207a%20-%20Convolutional%20Neural%20Networks%20Solution">Lab 7a</a> <br> <a class="reference external" href="https://ml-course.github.io/master/labs/Lab%207b%20-%20Neural%20Networks%20for%20text%20Solution">Lab 7b</a> (Release date: 27 Mar, 12:00)</p></td>
 </tr>
 </tbody>
 </table>