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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

4.7
stars
8,150 ratings

About the Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. 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” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews

MS

Nov 12, 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

RB

Mar 14, 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..

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1251 - 1262 of 1,262 Reviews for Convolutional Neural Networks in TensorFlow

By Jesús A M V

Jun 28, 2021

It feels definitely rushed out and half-assed. The assignments are a joke. If you don't come with a prior understanding of the material being taught, you're in for a hard time. Then again, if you have to know what the course is trying to teach you, then the whole thing is pointless...

By Marco F d S

Dec 3, 2020

Last grade is the hell, the loading cvs file with the default Lab code, doesn't work, we need to use a solution found by another student, lot of people complaint, but cours not updated... Please fix this, we lose a lot o time to grade the last Exam, of week 4 :(

By Michael C L

Apr 6, 2021

The last assignment is severely broken and provides no reasonable instructions. When taking the final test you must dedicate 2-3 extra hours to sifting through user posted discussions to succeed.

By Jakob A

Nov 29, 2021

Notebooks don't match lessons. where the fuck did week 4 assignment come from? It has nothing to do with multi-class classification and uses several techinques never covered.

By Max C

Apr 7, 2024

imagine offering a free trial and then forcing you to pay for a certificate at the end of the trial -- what's the point of the trial then?

By Samiul B

Jun 23, 2020

Very less lecture videos, most are reading based. By reading, it is hard to understand the topic and code implementatio.

By Matthew F

Mar 28, 2021

Poorly constructed labs in this one, made it take much longer than needed to understand the course content.

By Anders S P

Jan 11, 2021

Spent 10 times as much time making the flakey grader code happy than actually learning the subject

By Gabriel S

Sep 13, 2019

no graded exercice

the rest is good but without graded exercice it's hard to really put it to work

By YUNXIANG F

Mar 1, 2021

poorly designed assignments and not much learned

By Aniket D B

Sep 30, 2020

Vague Assignment instructions.

By Alex D

Oct 27, 2020

Extremely basic