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Learner Reviews & Feedback for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI

4.8
stars
19,181 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. 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

JC

Dec 30, 2020

I just can say that it was an awesome course. The instructors as well as the contents were clear, easy to understand and everything with a focus on how to take the theory and apply it with TensorFlow.

AS

Mar 8, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

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651 - 675 of 3,927 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By hiten s

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Aug 12, 2019

Amazing Course And Build The convolution and dense neural network with a fewer line of code. And Also the Learn About the Google Colab and The it's GPU and TPU

By Ryan W

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Jun 10, 2022

Very well done. Went from no TensorFlow knowledge to being confident I can write my own code to accomplish research tasks involving imaging in under 15 hours!

By Haitham A

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Aug 16, 2019

Straight forward and direct to the point. Very good pace for newbies and to refresh knowledge. It also guides to another resources for more deep understanding

By HAMZA I

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Feb 19, 2023

it's a great and perfect course for beginners because it lets you practice and see the results in real-life examples so that you can get a sense of the field

By Akhash S S

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Apr 26, 2021

This course helped me understand the fundamentals of neural networks, data preprocessing, optimizers, loss functions, normalization, and convolution filters.

By Camilo A N S

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Sep 2, 2020

This is an amazing course, there are too many concepts that we don't know but they do it really easy to learn. I'm definitely excited for taking next course.

By Maskur A S S

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Mar 24, 2023

It's a great course to start with a basic knowledge in ML or cnn. Its easy to understand and the work book really helpful where any one practice and learn .

By Wingyuen P

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Sep 21, 2021

Well done overall. But some explanation of how the images are resized (i.e. cropped or squished) would be good, not to mention the pitfalls of doing either.

By Anwar S

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Sep 7, 2020

well designed course with simple introduction. Slowly increasing the level in assignments helps in increasesing the confidence of students at a higher rate.

By SHIBU M

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Aug 8, 2020

This first course was amazing. I really enjoyed it a lot. I really like the assignments. I am excited to complete the next course in this series of courses.

By LUIS A D R

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Jul 11, 2021

It is an extraordinary experience to have the chance to take the class with world leader in AI. I couldn't imagine to have this opportunity few years ago.

By Michele M C

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Feb 11, 2021

Straightforward and complete introduction to deelearning, CNN and datasets managing. I suggest this course to introduce yourself to Artificial Intelligence

By tonmoy s

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Nov 9, 2020

This course is so awesome to learn convolution neural network where i had never seen before. I hope, this course will change my life. Thanks Coursera Team.

By Jack S

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Jun 12, 2020

It was a great introduction to get hands-on training with TensorFlow 2.0 and get a taste of image recognition tasks in less than 20 lines of code. Amazing!

By Bhupendra K

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May 30, 2020

Such a really nice course, Exercise was the best part of this course with gives us a handful experience for programming on neural network and deep learning

By jagesh m

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Jul 27, 2019

It has been a great understanding the tensorflows' ImageDataGenerator API. expect more to learn about Estimator API and transformer model using Tensorflow.

By Omar R

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Jul 1, 2019

Excellent Course for everyone especially beginners. A lots of practical and useful information. Use available resources online to complement your learning.

By anjali s

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May 25, 2019

This course has been extremely helpful in learning Machine learning, deep learning and Artificial Intelligence on a programmer's level. Thank you, coursera

By Asad A G A

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Dec 12, 2023

Very good one. I have done the Deep Learning specialization earlier and have very hard time to understand the assignment. But now I feel much comfortable.

By Jin J J

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Sep 11, 2020

Good Clarity and Gives great introduction into tensorflow + computer vision. Would recommend for people who are starting out in their datascience journey.

By 邹波波

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Sep 7, 2019

This coursera is very great! I learned how to build a neural network, how to improve the accuracy of the network through convolution. Thank you very much!

By Juan C B

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Aug 3, 2019

Excelente metodología!. Lo recomiendo para personas que ya tengan conocimientos básicos de machine learning porque el curso va directamente a la práctica.

By Jitender K

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Jul 21, 2019

This is a fantastic course for the beginners! I'd like to recommend everyone to start learning tensorflow with this course. Thank you Andrew and Laurence!

By Tola C

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May 25, 2019

The best course to get yourself started in TensorFlow. It is my first time with Python and TensorFlow, but I don't have any trouble following this course.

By Deleted A

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Jan 6, 2022

This is a really good course if you want to start using tensorflow, there are many basic that i didn't understand yet, until i finish this course, thanks