Which of the following is a CORRECT description of how transfer learning is applied in image processing neural networks? A. A pre-trained base model is used for the convolutional part of the network, with a custom trained top/flat layer section to map the convolutional output to final predictions B. A pre-trained set of weights is used for the top/flat layer section of the network, but custom trained filters are used for the convolutional part of the model C. A pre-trained base model is used to generate predictions for the new image dataset, and those predictions are manually mapped to the new dataset's target labels D. All model weights are trained from scratch, but these parameters are constrained to be close to the pre-trained weights

Which of the following is a CORRECT description of how transfer learning is applied in image processing neural networks? A. A pre-trained base model is used for the convolutional part of the network, with a custom trained top/flat layer section to map the convolutional output to final predictions B. A pre-trained set of weights is used for the top/flat layer section of the network, but custom trained filters are used for the convolutional part of the model C. A pre-trained base model is used to generate predictions for the new image dataset, and those predictions are manually mapped to the new dataset's target labels D. All model weights are trained from scratch, but these parameters are constrained to be close to the pre-trained weights

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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