Merge branch 'main' into main

Makefile

@@ -1,5 +1,9 @@
-.PHONY: quality
+.PHONY: quality style
 
 # Check code formatting
 quality:
-	python utils/code_formatter.py --check_only
+	python utils/code_formatter.py --check_only
+
+# Format code samples automatically and check if there are any problems left that need manual fixing
+style:
+	python utils/code_formatter.py

chapters/en/unit2/cnns/vgg.mdx

@@ -99,7 +99,7 @@ class VGG19(nn.Module):
 
     def forward(self, x):
         x = self.feature_extractor(x)  # Pass input through the feature extractor layers
-        x = self.avgpool(x) # Pass Data through a pooling layer
+        x = self.avgpool(x)  # Pass Data through a pooling layer
         x = x.view(x.size(0), -1)  # Flatten the output for the fully connected layers
         x = self.classifier(x)  # Pass flattened output through the classifier layers
         return x

chapters/en/unit4/multimodal-models/a_multimodal_world.mdx

@@ -48,8 +48,7 @@ A dataset consisting of multiple modalities is a multimodal dataset. Out of the
 - Vision + Audio: [VGG-Sound Dataset](https://www.robots.ox.ac.uk/~vgg/data/vggsound/), [RAVDESS Dataset](https://zenodo.org/records/1188976), [Audio-Visual Identity Database (AVID)](https://www.avid.wiki/Main_Page).
 - Vision + Audio + Text: [RECOLA Database](https://diuf.unifr.ch/main/diva/recola/), [IEMOCAP Dataset](https://sail.usc.edu/iemocap/).
 
-Now let us see what kind of tasks can be performed using a multimodal dataset? There are many examples, but we will focus generally on tasks that contains the visual and textual
-A multimodal dataset will require a model which is able to process data from multiple modalities, such a model is a multimodal model.
+Now, let us see what kind of tasks can be performed using a multimodal dataset. There are many examples, but we will generally focus on tasks that contain both visual and textual elements. A multimodal dataset requires a model that is able to process data from multiple modalities. Such a model is called a multimodal model.
 
 ## Multimodal Tasks and Models