. Why are linearly separable problems of interest of neural network researchers?
a) Because they are the only class of problem that network can solve successfully
b) Because they are the only class of problem that Perceptron can solve successfully
c) Because they are the only mathematical functions that are continue
d) Because they are the only mathematical functions you can draw
- 1 Answers
- 7984 Views
- I also Faced
- E-Mail Answers
What are combination, activation, error, and objective functions?
Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned
Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
How human brain works?
What are the disadvantages of artificial neural networks?
What can you do with an nn and what not?
What are the applications of a Recurrent Neural Network (RNN)?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Which is the similar operation performed by the drop-out in neural network?
What are conjugate gradients, levenberg-marquardt, etc.?
I need a MATLAB source code to recognize different regular geometric shapes such as: squares,rectangles,triangles,circles and ellipses in different sizes using neural network. All of the images containing these shapes should be in binary format with the size of 300*400 pixels. would you please give me a MATLAB code to detect these geometric shapes?
-
AI Algorithms (74) - AI Language Processing (96)
- AI Knowledge Representation (12)
- AI Robotics (183)
- AI Recognition (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- TensorFlow (197)
- AI Deep Learning (111)
- AI General (197)
- AI AllOther (6)
