Supervised Learning - Classification Week 9 Challenge
1. What is a Neural Network?
It is the algorithm that recognizes the pattern of data like mimics the human brain (neuron)
2. What is deep learning?
It is computer learning to think using a structural model, It is a type of Machine learning where Machine Learning is a subset of Artificial Intelligence and neural network (recognize patterns) is the backbone of deep learning
3. What is the role of the activation function?
Help neural network to learn complex data , It takes the output from the previous neuron and converts it to input for the next neuron (it is like end decide what is to fire for next neuron)
4. What are the different types of activation functions?
- Sigmoid
- Tanh
- ReLU
- Leaky ReLU
5. What do you understand by backpropagation?
Backpropagation is used for error-prone algorithm to create gradient descent with respect to weight of neuron in hidden layer and it can be sensitive to noise data