7.3.1. Deep Learning and Neural Networks

Try these first

1. 1.

   What does DNN stand for?

   Hint

   Look for the acronym involved in neural network architectures.

2. 2.

   Which processing unit is most effective for deep learning tasks?

   Hint

   Think about devices designed for graphics and parallel tasks.

3. 3.

   What type of unit is primarily used for parallel processing in deep learning?

   • CPU
   • GPU
   • RAM

   Hint

   Think of processors that handle thousands of operations simultaneously.

4. 4.

   True or False: Matrix multiplication is crucial in training neural networks.

   • True
   • False

   Hint

   Consider operations that occur in the training phase of deep learning.

5. 5.

   Illustrate how parallel processing could improve training times in a DNN with a specific numerical example.

   Hint

   Think about how many operations can be done concurrently.

6. 6.

   Discuss how various architectures (like FPGAs and TPUs) contribute to deep learning and their potential advantages over traditional CPUs.

   Hint

   Consider how customization and specialization can influence processing speed.