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About Cognitive API Using Neural Network
The document discusses transfer learning using MobileNet, a pre-trained deep learning model. It aims to train models in a browser without installing libraries or needing high-end hardware. MobileNet uses depthwise separable convolutions to create lightweight neural networks. It was pre-trained on ImageNet to recognize objects. K-nearest neighbors is used to classify new images based on their similarity to images in the training dataset. Literature discusses using transfer learning when datasets are limited due to data acquisition costs. Transfer learning can relax the assumption that training and test data must be identical.
Detailed Information
| Author: | ['Anish S'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 30 |
| Language: | English |
| Format: | |
| Price: | FREE |
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