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

4.7
stars
8,150 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

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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526 - 550 of 1,262 Reviews for Convolutional Neural Networks in TensorFlow

By Radhakrishnan V

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Jun 11, 2020

Learnt a lot in this course. Thanks a lot.

By Hanan S A

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Jan 3, 2020

code and slides are nice and crystal clear

By Leo

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Jun 25, 2019

Great course for Computer Vision problems!

By Amod S

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Jan 22, 2023

Wonderfully delivered. Great assignments.

By Ameya D

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Jun 29, 2021

Able to get good knowledge of Tensorflow.

By 张越兴

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Jul 24, 2020

我太爱你了 吴恩达老师还有google这个老师 我在youyube上看过您的视频！

By Mats E

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Jul 8, 2019

Very good high-level introduction course.

By Oleksandr M

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Jun 11, 2019

It's very clear and useful! Thank you! :)

By Maskur A S S

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Jan 1, 2024

A great course with hands on experience.

By Manish D

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Mar 19, 2022

Great course packed with superb content!

By Rich H

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Jun 27, 2020

Fantastic! I learned so much!!! Love it!

By Madhumitha S

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Jun 14, 2020

excellent explanations and lucid content

By Oscar S D

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May 5, 2020

Excellent course with challenging tasks!

By thalla p

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Mar 9, 2020

well planned, to dip into deep learning.

By 张栩源

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Nov 28, 2022

I gained a lot from doing the homeworks

By winniefred m b

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May 16, 2021

Loved the labs, they were very engaging

By Ogunkeye F

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Jun 18, 2020

Very well detailed course. I enjoyed it

By S. M F

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Apr 14, 2020

I wish it had more weeks to learn more!

By Alejandro B S

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Apr 9, 2020

good course, the instructe its the best

By Swaraj B

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Aug 5, 2019

Truly breath taking course ware design.

By SAHARSH A

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Jun 26, 2019

compel the submission of ungraded tests

By 江祖榮

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Mar 30, 2023

Best course about keras and tensorflow

By forsa o

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May 17, 2021

simple focused and greate thanks a lot

By Ridvan O

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Nov 19, 2020

I love the way how Laurence teaches!!!

By Sigurd G L F J

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Oct 29, 2020

Very well explained and very good labs