Merge pull request HeroKillerEver#1 from adi273628/patch-1

Update week3 quiz.md

Convolutional Neural Networks/week3 quiz.md

@@ -14,7 +14,7 @@
 
 4. If you build a neural network that inputs a picture of a person’s face and outputs N landmarks on the face (assume the input image always contains exactly one face), how many output units will the network have?
 
-	> 3N
+	> 2N
 
 5. When training one of the object detection systems described in lecture, you need a training set that contains many pictures of the object(s) you wish to detect. However, bounding boxes do not need to be provided in the training set, since the algorithm can learn to detect the objects by itself.
 
@@ -26,7 +26,7 @@
 
 7. In the YOLO algorithm, at training time, only one cell ---the one containing the center/midpoint of an object--- is responsible for detecting this object.
 
-	> false
+	> true
 
 8. What is the IoU between these two boxes? The upper-left box is 2x2, and the lower-right box is 2x3. The overlapping region is 1x1.
 
@@ -38,4 +38,4 @@
 
 10. Suppose you are using YOLO on a 19x19 grid, on a detection problem with 20 classes, and with 5 anchor boxes. During training, for each image you will need to construct an output volume y as the target value for the neural network; this corresponds to the last layer of the neural network. (y may include some “?”, or “don’t cares”). What is the dimension of this output volume?
 
-	> 19x19x(5x25)
+	> 19x19x(5x25)