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

4.7
stars
6,981 ratings
1,087 reviews

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. In Course 2 of the deeplearning.ai TensorFlow 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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401 - 425 of 1,087 Reviews for Convolutional Neural Networks in TensorFlow

By Guillermo R

Oct 31, 2020

Good course for computer vision, challenging exercises

By Eduardo J M G

Sep 17, 2020

An excellent course to keep learning about AI and DNN.

By Juan E R

Jul 30, 2020

excellent course, great techer, all concepts explained

By Moinul I

Jul 26, 2020

Great explanation of everything. I have learned a lot.

By Kevin R

Apr 29, 2020

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ce teaches simple and convincing.

By ongole s s

Apr 21, 2020

learnt how to work on real projects in computer vision

By Chitresh K

Feb 5, 2020

Loved the content and depth of the materials discussed

By Walid A

Aug 16, 2019

The Course is too easy but it was fun and to the point

By Andrés P

Aug 15, 2021

contenido muy bien explicado, a nivel de universidad.

By Juan C G R

Jan 21, 2021

I loved this course .. very practical and good topics

By ANWESH B

Jan 11, 2021

Superb introduction to Convolutional Neural Networks.

By PRITAM J

Jul 31, 2020

Should try doing this course with Andrew ng courses.

By Miguel R

May 1, 2020

Great course! Short videos, hands-on, nice examples!

By MOHAN S S T

Jan 8, 2020

great techniques with one line of code great!!! ...

By kripa s

Jan 2, 2020

Very informative for those who are new in tensorflow

By Shahriyar R

Oct 24, 2019

Decent introduction to how to use CNN and Tensorflow

By Daniel H

Sep 25, 2019

Great lessons to learn this technology step by step!

By Na

May 20, 2019

Thanks Mr. Moroney! But the course is a little easy.

By Cookie K

Apr 5, 2020

thank you so much as i learn many from this course.

By Ruichen Y

Mar 31, 2020

a starting point to get hands dirty on using Keras.

By Argenis G

Dec 9, 2020

Profesores excelentes y mucha información valiosa!

By Anwar S

Sep 21, 2020

very good contents in the right pace and direction

By Ed M

Sep 23, 2019

Amazing practical examples and great use of TF 2.0

By Бибик М В

Jan 29, 2021

very good course, best teacher, interesting tasks

By Anubhav

Aug 21, 2020

Great course to experience CNNs using Tensorflow.