Interested to Buy Any Domain ? << Click Here >> for more details...
What is adagrad algorithm in machine learning?
- 1 Answers
- 131 Views
- I also Faced
- E-Mail Answers
Answer / Kalpna Rani
Adagrad (Adaptive Gradient Algorithm) is an optimization algorithm used to update the weights in a neural network during training. It adjusts the learning rate for each parameter based on its historical contribution to the squared error, making it more efficient when dealing with sparse data and reducing the risk of overfitting.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the types of machine learning?
What is the difference between machine learning and artificial intelligence?
What are some common unsupervised tasks other than clustering?
What do you think of our current data process?
Explain the purpose of a classifier?
What do you understand by algorithm independent machine learning?
What is the difference between covariance and correlation?
What Is The Difference Between Bias And Variance?
What’s the difference between a generative and discriminative model?
What is the standard approach to supervised learning?
Tell me what is the difference between bias and variance?
What kind of problems lend themselves to machine learning?
-
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)
