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

4.7
stars
8,024 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. 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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126 - 150 of 1,245 Reviews for Convolutional Neural Networks in TensorFlow

By Zeeshan A

Jun 25, 2020

The specialization covers brief introduction to the concepts of Computer Vision and Natural Language Processing. It introduces to TensorFlow and gives a hands-on practical experience over the tool through simple assignments.

By Vishakan

Apr 22, 2020

Learnt a lot of new things about image classification, how to better predict images using TensorFlow. Laurence Moroney is a great teacher who skillfully explains the code and its significance in an easy-to-understand manner.

By Surya K

Apr 5, 2020

Incredible course structure. Really well designed and thoughtful. The programming assignments were especially very helpful. Grateful to Coursera for letting me do this specialization during these uncertain times of COVID-19.

By Steven J R

Mar 24, 2021

It's a nice approach and a good example of how we're going to do Machine Learning stuffs through an open-source library called Keras from Tensorflow (from Google ofc). Thanks, Google and DeepLearning.AI., Mr. Andrew Ng!

By Canis L

Jan 14, 2023

The instructors explain very good, the team is polite and help to answered my questions. The material is very clear to understand, and we have hands on to practice the knowledge from the lessons. I enjoyed very much.

By Sawyer S

Jun 22, 2020

Very instructive and practical, but the coding assignment can be mis-leading from time to time. However, that is not anything out of ordinary, practitioners should expect some level of sophistications in real life

By Low W T

Aug 9, 2020

Coming from an aspiring Data Scientist, Laurence Moroney provided succinct explanation on practical aspect for CNN, which is a definitely a supplementing course material alongside Deeplearning.ai's specialisation.

By Rakshit A

Feb 22, 2021

very well explained and the google colab notebook that they share is very helpful . i recommend to go through the lectures and go through youtube videos for deeper understanding before just jumping to exercises.

By Carlos C P

Dec 11, 2023

Just a few weeks ago I was hoping for the day I learnt to properly feed a neural network with a real dataset of images. I didn't expect to find such a good answer in this course but I did. It does exactly that.

By Chirag G

Mar 8, 2020

This specialization is really helpful. I had done other specializations and Machine Learning Course of Andrew Ng. But this course helped me to revise those topics as well as implement them in the real world.

By Sharan S M

Oct 22, 2019

After finishing this course, I was able to build a neural network that could identify different types of boats with around 94% accuracy. I used many techniques learned in this course like image augmentation.

By Reza M

Aug 28, 2021

This is a very good course to start on TensorFlow. It requires certain amount of knowledge ( I recommend Deep Learning Specialization). I started kaggling after this course and the results are very decent.

By Vincent H

Nov 26, 2019

IT is a great course about Deep Learning and above all, how to code it with Python.

It is very practical and you learn a lot of features about the Tensor Flow framework that you can reuse for other issues.

By MD. A K A

Mar 28, 2020

Really enjoyed the course. Thanks deeplearning.ai team. Except "Inception" every topic was clearly practiced. For "Inception", I am eager to learn how to lock a model & how he trained weight can be saved.

By Mcvean S

Nov 13, 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!

By Ravi P B

Mar 15, 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..

By Javier M

Sep 12, 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.

By Tamim-Ul-Haq M

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.

By Alif A 1

May 19, 2021

If you are looking for a course to build up your ML/DL coding skills, this is a very interesting and easily explained course. Highly recommended for any learner in the field of DL/Computer Vision.

By M. F A

Oct 31, 2023

Nice course, my knowledge in machine learning increase after learn in this course. i have some experience in model overfitting, binary classification, and multi-class classification data image.

By Akshar A K

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.

By Dhia Z

Oct 12, 2022

For the 4th Week, It might be useful to explain the difference between categorical and sparse_categorical crossentropy for multiclassfication case and what does the term 'hot-encoding' mean

By Shahid K

Dec 14, 2019

a very nice course on ConvNets. Image journey through convnets and logic behind using specific type of layers. you can very wellunderstand the keras structure to build convnets through this.

By Ajay C

Jun 19, 2020

Loved it. It was surely targeted for beginners first two weeks assignments were easy last two assignments had some work to do. But most of the Hints/answers are available in the comments.

By Vishnu N

Aug 1, 2020

I gained a hand full of knowledge from this course.

This course has given me a very good insight into convolution neural network work.

I thank Laurence Moroney and Andrew Ng for this course.