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Convolutional Neural Networks in TensorFlow に戻る による Convolutional Neural Networks in TensorFlow の受講者のレビューおよびフィードバック



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 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 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....




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!



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..


Convolutional Neural Networks in TensorFlow: 226 - 250 / 1,158 レビュー

by Akhil K


This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

by Meerzhan K


Clearly explained every detail of the topic. Assignments were not too much challenging in case you did Lab exercises properly.

by Gustavo A


I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

by Dustin Z


Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

by Jay H


It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.

by Diego O S


Really clear and with the exact amount of examples. (I would like to see more examples and not only the ones seen in class)



course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

by Tze C L


Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

by Marcin Ś


Pretty good introduction to CNNs with Tensorflow. Great idea with exercise assignments to finish milestones in the course!

by Bonthu S


Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.

by Zarinah C


One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.



the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take

by Gogul I


Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

by Farid A


a​wesome teacher

v​ery practical hands-on assignments and excerices

h​elpfull assistants for problem quick problem solving

by Márton B


I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.

by João R


It's a great course to get the basics of CNN. The last lab demands some tricks that are covered in the discussion forum.

by Carlos S


Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

by George D


Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

by Rukshan J S


Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

by sanjay R


A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

by sushant p


Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

by Akash S


Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

by Satyam s


This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

by Pushpak G


Again a good course which covers a lot of practical implementation of Conv nets and image classification.


by Laode M F


Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.