PauMarquez99 · PauMarquez99 · Mar 30, 2022 · Mar 30, 2022 · Apr 1, 2022
diff --git a/lab3/bank-additional-full.csv b/lab3/bank-additional-full.csv
diff --git a/lab3/dataset_Facebook.csv b/lab3/dataset_Facebook.csv
diff --git a/lab3/facebook.ipynb b/lab3/facebook.ipynb
diff --git a/lab8/Model.h5 b/lab8/Model.h5
diff --git a/lab8/README.md b/lab8/README.md
@@ -0,0 +1,15 @@
+# Lab 8 - RNNs for sequences
+
+## Resources
+
+* rnn.ipynb contains the code shown in the lecture 
+* weather.csv contains the weather dataset used in the lecture
+
+
+## Lab Exercises
+
+- [X] Create a folder called lab8
+- [ ] Open rnn.ipynb in Colab and go through the code. 
+- [ ] The exercise you have to do is at the bottom of the Notebook: can you create an RNN that has at least one Bidirectional layer and which obtains at least 90% accuracy on the validation set.
+- [ ] Open the quiz on Moodle. You'll have to upload the model you created in the previous point and code a simple algorithm for the forward step of the SimpleRNN layer.
+- [ ] After you've done it, make sure you save your version of the notebook (and your trained model) in your lab8 folder in Github!
diff --git a/lab8/model.keras b/lab8/model.keras
diff --git a/lab8/rnn.ipynb b/lab8/rnn.ipynb
diff --git a/lab8/temperature_over_time.pdf b/lab8/temperature_over_time.pdf
diff --git a/lab8/temperature_over_time_2y.pdf b/lab8/temperature_over_time_2y.pdf
diff --git a/lab8/weather.csv b/lab8/weather.csv
diff --git a/lab9/README.md b/lab9/README.md
diff --git a/lab9/advanced_transfer_learning.ipynb b/lab9/advanced_transfer_learning.ipynb