Mar 09, 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?
Aug 14, 2019
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
創建者 Anand A•
Apr 25, 2019
Very good course. Great introduction to beginners using Tensorflow. Teaches you how to implement CNNs for classification tasks. Would love to learn more about working with sequential time series data as well.
創建者 Deeparaj A C•
Apr 08, 2019
As a beginner before this course I was quite intimidated by the coding behind neural networks. This course gave me the confidence and it was a wonderful experience . Looking forward to take up the next course
創建者 VINAY K S•
Jul 20, 2020
Very best Intro to the TensorFLow but I would love if the videos are little bit more long and the data cleaning part was also there as we just make models here and don't worry about the data as it was ready.
創建者 Kushal V•
Feb 04, 2020
It is a good course and starter for someone who wants to learn TensorFlow and get a knack of implementation of Neural Networks on Real Life Datasets.
Well Structured and articulated course work and notebooks.
創建者 Rahul R•
Sep 06, 2019
Very informative and practical course. I liked the image generator portion of the course which makes pre-processing super easy and fun. Thanks to Laurence Moroney for making the course as simple as possible.
創建者 ASHWIN J K•
Jul 16, 2020
Really helpful course! Lawrence explains in such a way anybody can pick it up without much difficulty. Will suggest this course to everyone who wants to get into Deep Learning with Images using Tensorflow.
創建者 Vaseekaran V•
Jul 16, 2020
Really great introduction to Tensorflow. The instructor is great. Make sure to have completed the Deep Learning Specialization in order to get even better experience and practice when following this course.
創建者 Otto D•
Mar 21, 2020
I have been looking for a long time a course like this, where the knowladge meets with practise and through the tasks it is possible to have a deep understanding how to use machine learning with tensorflow.
創建者 Shafique K•
Apr 14, 2020
A very informative and interactive course, helped me to get started in TensorFlow. I recommend everyone start this course which is one of the first steps to get into Tensorflow in Practice specialization.
創建者 Abheek A•
Oct 15, 2020
Well Structured course , Thanks for the Proving Deep learning knowledge. I personally Like explainations from Andrew NG , i like his courses on youtube. May he got some upcoming Courses of ML on Coursera
創建者 benoit v•
May 03, 2020
Perfect introduction for someone with no knowledge on AI at all. Some concepts are quite complex to understand (e.g. convolutio) but I believe that I need more practice! Thanks for this wonderful course!
創建者 Josian Q•
Apr 30, 2020
Super useful and easy to follow. It allows me to go straight to the point and expand on my learning if I so wish. The notebooks are very well constructed and visualising convolution layers is fantastic.
創建者 Lampros F•
Apr 26, 2020
A nice introduction to tensorflow, convolutional networks and ML for image processing, good for beginners or as a refresher if you have used old version of Tensorflow that did not have Keras integrated.
創建者 Saptashwa B•
Oct 13, 2019
Fantastic course for intermediate students. I liked how Laurence always gave enthusiasm to explore how convolution works through visualization. Very excited for the next courses on this specialization!!
創建者 Rishabh M•
Apr 08, 2020
I really liked the way this course directly jumps into the coding exercises. Questions asked in the quizzes are too short and can be improved. Overall, a well designed and easy to learn course. Thanks!
創建者 Lovi R G•
Aug 13, 2019
Superbly designed and well laid out course. Loved the way initial onboarding was done using simples of line fitting and then slowly building deeper concepts of Image processing and CNN. GREAT COURSE!!!
創建者 Shailesh K•
Sep 26, 2020
awesome stuffs are presented here and lab are those thing which teaches me a lot, between this how can i forgot Prof. Lawrence and Andrew who made these things out of the box.
創建者 Kristian J•
Sep 02, 2020
I would say that I have dabbled in Python and ML before taking this course. I even finished the IBM Data Science Professional Certification. I was very much able to grasp what was being taught here.
創建者 Vaibhav S•
Aug 15, 2020
This course is awesome and the way instructor teaches the topic is fantastic.
I would definitely recommend this course for Ai enthusiast and tech enthusiast who are interested in learning Tensorflow.
創建者 oguntoye k•
Aug 06, 2020
My first course on TEnsor and i have nothing to say but this course is a must for everyone who wants to know more about Tensor. It establishes a strong background one could lay advanced knowledge on
創建者 Mahsa G•
Mar 27, 2020
this course was helpful for me to learn more about CNN. it starts from basic concepts and improve that slowly and step by step. i truthfully recommend how what to start working with neural networks.
創建者 Zhang(张), J W•
Jul 29, 2020
Good introduction course for beginner who are interested in TensorFlow and Deep learning.
By Quiz and Exercise you can tesitfy if you gain enough knowledge to pass the course which is really useful.
創建者 Arnab B•
May 06, 2020
This course helps to dive me into the world of Neural Network . I have learned a lot though my Course . It was very interesting and fun learning with Coursera . Looking forward for the next Course.
創建者 Jaejun L•
Apr 06, 2020
It's a good hands-on exercise. I like to see more link to keras api document when we introduce new function in keras. However, Tensorflow document regarding keras api is yet in complete. Thank you.
創建者 Raheel A•
Jan 14, 2020
Learn alot from this course, specially the steps required from importing data to train data from simple to real world examples. Further explanation of each line of code also demonstrate thoroughly.