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學生對 Coursera Project Network 提供的 Creating Custom Callbacks in Keras 的評價和反饋

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67 個評分

課程概述

In this 1.5-hour long project-based course, you will learn to create a custom callback function in Keras and use the callback during a model training process. We will implement the callback function to perform three tasks: Write a log file during the training process, plot the training metrics in a graph during the training process, and reduce the learning rate during the training with each epoch. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Python, Neural Networks, and the Keras framework. 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....
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1 - Creating Custom Callbacks in Keras 的 8 個評論(共 8 個)

創建者 Atulya K

2020年5月3日

創建者 Anderson J S d O

2020年8月2日

創建者 olivier c

2020年11月26日

創建者 Doss D

2020年6月14日

創建者 Kamlesh C

2020年7月1日

創建者 tale p

2020年6月28日

創建者 p s

2020年6月24日

創建者 gowthaman

2020年7月5日