Coursera Project Network의 TensorFlow for CNNs: Transfer Learning 학습자 리뷰 및 피드백
This guided project course is part of the "Tensorflow for Convolutional Neural Networks" series, and this series presents material that builds on the second course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow.
In this 1.5-hour long project-based course, you will learn how to apply transfer learning to fine-tune a pre-trained model for your own image classes, and you will train your model with Tensorflow using real-world images. By the end of this project, you will have applied transfer learning on a pre-trained model to train your own image classification model with TensorFlow.
This class is for learners who want to learn how to apply transfer learning to re-use pre-trained models to create a new model, work with convolutional neural networks and use Python for building convolutional neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning project with TensorFlow project. Also, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios....
TensorFlow for CNNs: Transfer Learning의 2개 리뷰 중 1~2
교육 기관: Priscila A B
2020년 11월 24일
교육 기관: Diego F B H
2020년 10월 28일
The explanation is interesting, still, I have the doubt if we can initialize the weights and retain all layer 🤔