Interested to Buy Any Domain ? << Click Here >> for more details...
What is max pooling?
- 1 Answers
- 9 Views
- I also Faced
- E-Mail Answers
Answer / Pardeep Kumar
Max pooling is a downsampling technique commonly used in convolutional neural networks (CNNs). It involves selecting the maximum value within a sliding window and replacing the entire original window with this maximum value. This operation helps in reducing the spatial size of the representation, thus reducing the number of parameters in the network, and making it computationally more efficient.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is transfer learning ?
What is Pipeline in tensorflow ?
How can someone report a vulnerability in tensorflow?
What do you know about distribution dashboard in tensorflow?
How can you implement LSTM network in tensorflow ?
What is sequence-to-sequence model?
Can you do segmentation in tensorflow ?
Explain tensorboard?
What is tensorflow used for?
Explain what if a file is corrupted or missing in a dataset?
What is the main feature of tensorflow?
Is the rtx 2070 better than the gtx 1080?
-
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)
