Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI
About the Course
This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular
open-source framework for machine learning. In Course 2 of the DeepLearning.AI TensorFlow Developer Specialization, you will learn
advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in
different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” info...
Top reviews
MH
May 23, 2019
A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.
CM
Apr 30, 2019
A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum.
976 - 1000 of 1,268 Reviews for Convolutional Neural Networks in TensorFlow
By Antoine A
•Jan 2, 2021
Good course overall, but the exercise of the end of week 4 was really badly conceived/explained
By Ana C H
•Jan 25, 2020
Very interesting course. I've learned a lot. I would like to have a little more advanced topics
By Tudor M
•Mar 11, 2021
Some assignments are quite vague and can take up a lot of time to findout what the problem is.
By Yuliya M
•Jan 6, 2020
It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.
By Dr. H H W
•Sep 5, 2019
Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.
By Shivakeshavan
•Aug 7, 2020
Course was great but instructions for the coding exercises could be a little more explicit.
By Andy L
•Mar 23, 2020
A lot of repetition. Stack traces, and error messages in the notebooks are less than clear
By Luis M
•Sep 14, 2021
For the most part it is easy but the project really makes you put effort and mind into it.
By chintamani m
•May 27, 2021
Enjoyed this course thoroughly by getting loads of useful tips and training from Laurence
By Fadhel A
•Jan 25, 2020
I hope it will be upgraded with graded weekly test (case study and building some models).
By Marcos V G J
•Sep 25, 2019
Good content, but lacks exercises that forces us to code ourselves to solve the problemas
By CARLOS R H
•Jan 14, 2021
Incredible course. Only comment is that the last exercise wasn't explained very clearly.
By Shaun K
•Mar 10, 2020
Found course a little lighter compared to other deeplearning courses. But great overall.
By Lei W
•Oct 30, 2019
will be nice to have non-third party programming exercises that are graded by Coursera
By Donal B
•Oct 18, 2019
Excellent course. Would have liked graded coding assignments like in the first course.
By Heinz D
•Nov 21, 2021
Good lecturer, interesting content. But do not expect to cover the subject in depth.
By Hy G
•Jun 6, 2021
last assignment involve other scope such as numpy, hence more hints would be helpful
By Dolrie S
•Apr 23, 2023
Overall is easy to grasp but if the programming assignment given more will be great
By Eduardo Z
•Jun 24, 2020
Great! Had some difficulties with the last excercise. But the rest was OK. Thanks!
By Philip L
•Nov 14, 2019
More exercises should be available for students to practice and test their skills.
By Eran Y
•Jun 20, 2020
Some references to relevant code in tests would be nice, don't send me searching.
By Gregor F
•Jan 7, 2020
Straight to point with a lot of useful techniques! Interesting examples as well.
By SEBASTIAN I G T
•Aug 26, 2020
Nice course to learn about the basics about how to implement CNN's with keras.
By Sebastián M A
•Dec 6, 2019
No le pongo las 5 estrellas por la falta de ejercicios prácticos calificables.
By Arun P R
•Apr 18, 2020
Need to more specific about the instructions given for Programming Assignment