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

4.7
stars
8,098 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

VN

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I gained a hand full of knowledge from this course.

This course has given me a very good insight into convolution neural network work.

I thank Laurence Moroney and Andrew Ng for this course.

KA

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Nice course. Even though I have previously done some projects using CNN and multi-class classification still this course let me to have an insight to how these APIs work. Keep Up The Good Work!!!!!!

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1001 - 1025 of 1,254 Reviews for Convolutional Neural Networks in TensorFlow

By Sergio R

Dec 9, 2020

Excellent course, the teacher is good, I love learning all, thanks

By Zhou D

Jun 19, 2019

actually I hope there will be the implementation of detection task

By Amardeep S

Dec 29, 2019

The homework assignments should be required and more challenging

By Longchao J

Feb 6, 2021

The last assignment is poorly designed. Others are good enough.

By Sharvil G

Aug 6, 2019

Transfer learning part should have been in more detail. Thanks.

By Ifrah M

May 14, 2020

A little bit of more explanation of the notebooks are required

By Daniel A O C

Apr 3, 2021

El curso es útil para implementar una red convolucional desde

By Muhammad U

Aug 18, 2019

A well taught course with interesting coursework and projects

By Bethel H

May 11, 2020

One of the best courses offered by deeplearning.ai community

By Anmol J

Apr 26, 2024

Good starting point to understand and implement Tensorflow

By Fernando P

Jul 30, 2021

amazing!! I really understand the path with TensorFlow!!

By Adnan Q

May 4, 2020

Very good course dealing with image convolutions and CNN

By Paul Z

Dec 19, 2020

Very helpful, however, the last exercise was misguided.

By Salem S

Apr 2, 2020

apart from the technical issue, the course is fantastic

By Vitalii S

Nov 25, 2019

Too easy with good background and fast passing course.

By Vittorio R

Oct 6, 2019

Good, but expected more, for example object detection.

By Taras B

Mar 23, 2022

It will be very nice to have more coding exercices.

By Haoran C

Sep 4, 2019

Please transfer the notebook from CoLab to Coursera.

By Ashish R

Aug 23, 2024

Four stars because ImageDataGenerator is outdated .

By Robert G

Dec 10, 2019

I would like to see examples with videos, yolo, etc

By KHODJA

Oct 2, 2019

A more advanced course would be highly appreciated.

By Ruiwen W

Jul 22, 2020

Assignment material not very aligned with lectures

By Md. S U I

Jan 24, 2024

Very Basic. Should Have more detailed information

By Gerardo S

Sep 16, 2020

I feel like this series of courses is too narrow

By Ahmet K

Dec 30, 2019

Nice course! All detailed and explained. Thanks!