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Learner Reviews & Feedback for Neural Network from Scratch in TensorFlow by Coursera Project Network
277 ratings
About the Course
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.
Top reviews
SC
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
AR
Jul 3, 2020
Best hands-on experience.
The understanding was awesome. Keep making these types of projects.
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51 - 51 of 51 Reviews for Neural Network from Scratch in TensorFlow
By Akshay K A
•May 3, 2020
Explanation given in project was very well but the tool used to write the code is much worse and slow. It is really frustrating.