Interested to Buy Any Domain ? << Click Here >> for more details...
What do you understand by boltzmann machine?
- 1 Answers
- 16 Views
- I also Faced
- E-Mail Answers
Answer / Satendra Singh
A Boltzmann Machine (BM) is a type of stochastic artificial neural network that can learn the probability distribution of its input data. It was proposed by Geoffrey Hinton and Simon Becker in 1986 as an extension of the Hopfield network. BMs are binary-state, undirected, fully connected networks with hidden units. Each unit has a bias term, and connections between units have associated weights. During training, the network learns to reproduce the input probability distribution by adjusting the weights and biases.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is tanh function?
Explain the importance of lstm.
What is Overfitting and Underfitting and how to combat them?
Why is zero initialization not a good weight initialization process?
How does Deep Learning differ from Machine Learning?
What do you understand by tensors?
What is the softmax function?
What will happen if the learning rate is set too low or too high?
What is the most used activation function?
How does deep learning relate to ai?
What are the issues faced while training in recurrent networks?
Can relu function be used in output layer?
-
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)
