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Back to Convolutional Neural Networks in TensorFlow

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

4.7
stars
8,213 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 鈥渟ees鈥� 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

AK

Jun 5, 2020

Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.

TM

Oct 6, 2020

Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.

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426 - 450 of 1,269 Reviews for Convolutional Neural Networks in TensorFlow

By Victor C

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Jan 27, 2020

implement example is helpful, hope I can use these in my try

By Apurv j

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Sep 13, 2019

Short sweet and perfect videos to be understood very easily.

By Desir茅 D W

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Aug 9, 2019

Great content, excellent explanations, no assignment hassles

By Aptha G

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Jul 25, 2019

Really helped a lot in understanding CNN, transfer learning.

By Vinodh

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Mar 2, 2021

Great Start to begin learning Convolutional Neural Networks

By Suraj

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Feb 27, 2021

Amazing intuitive explanations by Laurence moroney sir 馃檶馃徎

By Alexey A

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May 31, 2020

Great course! Especially final programming task is the best

By Shubham

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May 12, 2020

It was a relatively easy course but a good one nonetheless.

By Muhammad A A K

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Dec 21, 2019

I ready enjoyed learning this course. It was truly awesome.

By Pachi C

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Jun 27, 2019

Great course and fantastic professors (Laurence and Andrew)

By Mohsen P

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Dec 1, 2021

It is a practical course for computer vision applications.

By Pravin B

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Feb 27, 2021

Excellent course to brush up the knowledge and learn more.

By Alistair W

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Apr 23, 2020

Great course - easy to follow. Clear, concise and fun! :-)

By Peter B

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Sep 14, 2019

An amazing course that was written by masters of the field

By p g

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Aug 24, 2023

Great learning material as always in that set of courses!

By Idriss C

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Jan 3, 2022

Very informative as an introduction to image processing/

By Ng峄峜 L L

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Oct 5, 2021

nice course, explain really clear and easy to understand.

By Allan H

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Sep 20, 2021

Well explained and quite thoughtful. Thanks Dr. Moroney!

By Developing T

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May 9, 2020

Amazin Experience was with course tutor. I love coursera.

By Nagamalla T

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Apr 6, 2020

So much learning in a very short period, feeling amazing.

By Andrew S

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Feb 26, 2020

Great course! Really helped me learn the basics of keras.

By Ph岷 膼 T

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May 5, 2021

This course help me a lot to practice in Neuron Network.

By Leo C

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May 3, 2020

Very little info overall, but also very quick to finish.

By Sachin

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Feb 15, 2020

The Way this has been driven, I never felt disconnected.