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Visualizing Filters of a CNN using TensorFlow(으)로 돌아가기

Coursera Project Network의 Visualizing Filters of a CNN using TensorFlow 학습자 리뷰 및 피드백

4.5
별점
50개의 평가

강좌 소개

In this short, 1 hour long guided project, we will use a Convolutional Neural Network - the popular VGG16 model, and we will visualize various filters from different layers of the CNN. We will do this by using gradient ascent to visualize images that maximally activate specific filters from different layers of the model. We will be using TensorFlow as our machine learning framework. The project uses the Google Colab environment which is a fantastic tool for creating and running Jupyter Notebooks in the cloud, and Colab even provides free GPUs for your notebooks. You will need prior programming experience in Python. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like gradient descent but want to understand how to use the TensorFlow to visualize various filters of a CNN. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

최상위 리뷰

필터링 기준:

Visualizing Filters of a CNN using TensorFlow의 5개 리뷰 중 1~5

교육 기관: Kenneth N

2022년 7월 4일

교육 기관: Pooja.Bidwai p

2021년 12월 14일

교육 기관: Fabian B

2022년 4월 14일

교육 기관: Sanskriti S

2022년 7월 20일

교육 기관: Javier G

2022년 5월 24일