Please answer the following questions to confirm what you have learned from the topic:
- What are the advantages of using neural networks in comparison to classic computer vision?
- Why do we split the training dataset into training and validation datasets?
- What are data providers in MXNet and when do you use them?
- How do you set the size of the input dataset when configuring a neural network architecture?
- What is SoftmaxOutput and why it is used when defining a neural network?
- How do you define a number for the SoftmaxOutput layer?
