TB10 B&B Lecture 3; How are neurons connected to serve useful functions?
- Created by: mint75
- Created on: 23-05-16 14:48
Other questions in this quiz
2. What are the two criteria for generality?
- Each input pattern maps onto ANY output pattern and there are enough units (4) and layers of units (unlimited)
- Each input pattern maps onto only ONE output pattern and there are enough units (unlimited) and layers of units (4)
- Each input pattern maps onto only ONE output pattern and there are enough units (4) and layers of units (unlimited)
- Each input pattern maps onto ANY output pattern and there are enough units (unlimited) and layers of units (4)
3. In supervised learning, what happens after each input pattern?
- Connections are weakened as to reduce contributions to discrepancy between observed and desired output
- Network checks the output against the underlying structure of the input to attempt to reduce discrepancy in the whole model
- Connections are weakened/strengthened as to reduce contributions to discrepancy between observed and desired output
- Connections are strengthened as to reduce contributions to discrepancy between observed and desired output
4. Which is correct?
- (sum of)Activation of input neuron x weight of input
- (sum of)Activation of input neuron - weight of input
- (sum of)Activation of input neuron x output
- (sum of)Activation of input neuron -output
5. Can deep learning approach and exceed human knowledge on tasks such as face and object recognition?
- Yes
- No
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