Interested to Buy Any Domain ? << Click Here >> for more details...
Which is true for neural networks?
a) It has set of nodes and connections
b) Each node computes it’s weighted input
c) Node could be in excited state or non-excited state
d) All of the mentioned
- 1 Answers
- 15340 Views
- I also Faced
- E-Mail Answers
How does ill-conditioning affect nn training?
How are artificial neural networks different from normal computers?
What is the advantage of pooling layer in convolutional neural networks?
How neural networks became a universal function approximators?
How does an LSTM network work?
What is Pooling in CNN and how does it work?
What are neural networks and how do they relate to ai?
Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
How artificial neural networks can be applied in future?
What is a neural network and what are some advantages and disadvantages of such a network?
How to avoid overflow in the logistic function?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (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)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
