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

4.7
stars
8,158 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

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..

JM

Sep 11, 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

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401 - 425 of 1,264 Reviews for Convolutional Neural Networks in TensorFlow

By Richard G

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Jun 4, 2023

Fairly straight forward short practical introduction to this field.

By Kallol R

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May 13, 2023

Verry Practical Course! Learned a lot.

Laurence Moroney is awesome

By Lautaro R S

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Apr 28, 2020

Improve the Final Assigment's grading software for the love of god!

By NIKHIL T

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Dec 3, 2020

Very Valuable course. Hoping to start the next course very soon!!!

By Yergali B

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Oct 6, 2019

Thank you, deeplearning.ai! I've understood more deeply about CNN.

By Александр З

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Sep 5, 2019

Really liked this one with lots of data to play with and examples.

By Rishi

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Aug 17, 2019

Great course to learn about Convolutional Neural Networks in Keras

By Mahdi P

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Aug 12, 2019

Great course to learn and implement CNN with Keras. Thanks a lot.

By Petyo P

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Mar 29, 2020

Great on the point training. It gives a lot of food for thought.

By Praneeth Y

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Jul 10, 2019

Great opportunity to experiment and learn through the exercises!

By Souvik M

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Sep 19, 2021

The best course to start with Computer Vision using TensorFlow.

By Nikesh T

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Oct 5, 2020

I learned new things like Transfer learning, more depth in CNN.

By Ganesh A

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Apr 10, 2020

Great explanation of concepts and implementation in tensorflow

By LiangTian

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May 20, 2019

this class is not difficult ,it is suitable for benginers of DL

By Sarah H

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Jan 25, 2024

these courses are so well designed its so much fun to learn ML

By Alejandro V

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Oct 28, 2020

Real life examples, competition reviews and excellent guidance

By Avinash S

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Apr 29, 2020

Understood more concets, Looking forward to Pytorch frameworks

By Jimut B P

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Dec 24, 2019

Superb hands on with relatively difficult example step by step

By PLN R

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Oct 15, 2019

Exceptionally amazing course. Suitable for even the beginners!

By Amber R

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Oct 7, 2023

Best organized course, with best explanation . Thank you : )

By Ronak S J

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May 19, 2020

excellent explaination and good balance of theory and pratice

By Hemant Y

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Nov 17, 2020

A very practical course to learn TS for Image classification

By Widi W

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May 2, 2020

Great course! All the content, the exercise. Thanks so much.

By Cosimo R

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Apr 12, 2020

Very clear and easy to follow course, I warmly recommend it!

By Victor C

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Jan 27, 2020

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