3.3.2. Deep Neural Networks (DNNs)

Try these first

1. 1.

   What is a key feature of DNNs compared to standard neural networks?

   Hint

   Think about what makes a neural network 'deep.'

2. 2.

   Name one application where DNNs are commonly used.

   Hint

   Consider modern technologies like social media tagging.

3. 3.

   What is the primary characteristic of a Deep Neural Network?

   • Single hidden layer
   • Multiple hidden layers
   • No hidden layers

   Hint

   Think about the definition of 'deep' in deep learning.

4. 4.

   True or False: Backpropagation is used to adjust the weights of a neural network during training.

   • True
   • False

   Hint

   Recall the training process of neural networks.

5. 5.

   Explain how deep networks can generalize better to unseen data compared to shallow networks.

   Hint

   Consider why layers matter.

6. 6.

   Design a simple DNN architecture for a problem involving handwriting recognition and describe how you would implement training.

   Hint

   Think about typical input shapes and layer configurations.