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

4.7
stars
8,024 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 upcoming Machine Learning in Tensorflow 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 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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1051 - 1075 of 1,245 Reviews for Convolutional Neural Networks in TensorFlow

By Subhendu M

Aug 12, 2020

A nice well-balanced course.

By Rohit K S

Sep 18, 2020

Mind Boggling Experience!!

By Walter G

Nov 29, 2019

A very brief quick course.

By Guilherme M

Jun 10, 2019

Bom curso, muito prático.

By Loutzidis A

Mar 16, 2020

The quiz were quite easy

By Prabesh G

May 23, 2019

Okey.. So easy but okey

By MARCO A C R

Jan 17, 2023

Curso muy didáctico

By tanguy c

Apr 24, 2020

Thanks. Enjoyed it.

By j_lokesh

Jun 15, 2020

that's was awesome

By Pengyuan L

Dec 26, 2019

I like this course

By Vivek S

Jun 24, 2019

Super cool stuff!

By Thắng N H

Jun 6, 2022

Good for beginer

By Neeraj K

May 28, 2022

Very informative

By Paulo A C

Apr 23, 2020

Great content!!

By Ahmed N

Feb 2, 2024

very very good

By ashraf s t m

Jul 31, 2019

Voice is low

By Venkatesh S

Dec 2, 2019

Excellent!

By Bingcheng L

Nov 12, 2019

quite easy

By Suraj

Feb 11, 2020

Too easy.

By Hamzeh A

Aug 6, 2019

Very Cool

By Omar M

Jul 16, 2019

Was okay

By Sung-Hyun S

Aug 25, 2021

Good!

By Egi R T

Jul 9, 2022

Good

By S. M S H

Sep 21, 2020

Good

By Anastasia C

Apr 8, 2021

I had a problem with the weekly assignments 1 and 4, which I think asked for things that were not presented at all in the videos. On the first week, without any preparation, we were asked to create the directories, supposedly without any python background, which was tough. But that was just a couple of commands. In the last weekly assignment, the file reading and loading was very problematic for those who hadn't previous python knowledge, and pretty advanced too. In the course of the lessons and the notebooks shown previously, never had we encountered .csv files, and the way to load the images that we were introduced to, with directories, was not at all present in the final project. Also, the methods that were needed afterwards (.flow(), evaluate) were not even hinted before, even in the comments of the assignment, if not before, during the videos/notebooks. All in all, the last exercise took me by surprise and was really tough to get working, because the course was almost irrelevant to it (no transfer learning or directories, the two main points in the course).