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学生对 Coursera Project Network 提供的 Neural Network from Scratch in TensorFlow 的评价和反馈

273 个评分


In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, it’s still worth understanding how a slightly lower level implementation might work in tensorflow, and this project will give you a great starting point. In order to be successful in this project, you should be familiar with python programming, TensorFlow basics, conceptual understanding of Neural Networks and gradient descent. 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....



Jul 11, 2020

The instructor has explained each line of code and this helped me understand the context better and I was able to keep track of things with ease. Thank you Sir


Jul 3, 2020

Best hands-on experience.

The understanding was awesome. Keep making these types of projects.


1 - Neural Network from Scratch in TensorFlow 的 25 个评论(共 50 个)

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