Table of Contents
Which is the best model for transfer learning?
Comparison of Models with respect to Classification Accuracy
| Module | Top-1 Accuracy | Top-5 Accuracy |
|---|---|---|
| Inception | 0.782 | 0.941 |
| Xception | 0.790 | 0.945 |
| VGG | 0.715 | 0.901 |
| ResNet | 0.770 | 0.933 |
What is a Pretrained CNN model?
What is a Pre-trained Model? Simply put, a pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, you use the model trained on other problem as a starting point. For example, if you want to build a self learning car.
In which of the following cases can we use transfer learning?
Transfer learning is mostly used in computer vision and natural language processing tasks like sentiment analysis due to the huge amount of computational power required. Transfer learning isn’t really a machine learning technique, but can be seen as a “design methodology” within the field, for example, active learning.
What is transfer learning in neural networks?
Transfer learning for machine learning is when elements of a pre-trained model are reused in a new machine learning model. If the two models are developed to perform similar tasks, then generalised knowledge can be shared between them. This type of machine learning uses labelled training data to train models.
What is a Pretrained model in machine learning?
A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100\% accurate in your application.
What is transferable learning?
Transfer learning is an optimization that allows rapid progress or improved performance when modeling the second task. Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a related task that has already been learned.
Where can I find Pretrained neural networks?
Many pretrained models for various platforms can also be found at https://www.gradientzoo.com. Moreover, if you are interested in some particular network architecture, authors sometimes provide pretrained models themselves, e.g. ResNeXt.