Questions
- What are the various layers in a neural network?
- What is the output of feedforward propagation?
- How is the loss function of a continuous dependent variable different from that of a binary dependent variable or a categorical dependent variable?
- What is stochastic gradient descent?
- What does a backpropagation exercise do?
- How does the update of all the weights across layers happen during backpropagation?
- Which functions are used within each epoch of training a neural network?
- Why is training a network on a GPU faster when compared to training it on a CPU?
- What is the impact of the learning rate when training a neural network?
- What is the typical value of the learning rate parameter?
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