Mar 8, 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 13, 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.
创建者 Robert K•
Apr 19, 2022
Great work from the instructors. However, I'd rather the assignments be less filled out so I can code more and struggle through the data processing and get to know the library more. The assignments had too much code so it's easy to glaze over and just complete the assignments very quickly. The ungraded labs were very helpful.
创建者 Purva B•
May 21, 2021
The way the instructor taught everything with examples and in-depth code made it helpful to understand all the concepts. Extremely helpful course as it started from the very bottom about CNN's. Also the resource materials provided are very insightful and has all the information needed to experiment with the code even further.
创建者 Tobias L•
Oct 23, 2020
Nice introduction to Tensorflow, Callbacks and Convolutional Layers. As this is a course on intermediate level, I recommend you take the ML and Deep Learning courses by Andrew Ng first. With the knowledge from these courses you will get way more out of this one (which then is just what it says: An Introduction to Tensorflow).
创建者 Deepankar K A•
Sep 17, 2020
I loved the course from the very beginning. The structure of the course is well designed for a student like me. Instead of making long videos on a topic, each video explains only a small topic and is 4-5 minutes long. Special thanks to the class instructor Laurence Moroney who explained advanced topics so quickly and clearly.
创建者 Артём А•
Jul 29, 2020
The course is really great! Besides containing loads of useful information and being totally ML-novice friendly it has a huge amount of links giving a better understanding the ideas under the hood and practical implementations of knowledge! Quiet sure that the further parts of specialization are of the same high quality!
创建者 Luiz E d F M•
Jan 5, 2022
In this course I was able to put into practice and learn even more, much of what was taught in Professor Andrew N.G's Deep Learning Specialization. Many concepts about neurons (Dense), about Flatten, and as well as manipulating images to work with computer vision, were excellent to improve and consolidate these concepts.
创建者 Leonardo I•
Aug 22, 2019
A very well structured course that introduces the learner to the basics. The instruction is clear, exercises are easy to follow. You can see that the instructors have put a lot of thought into the design of this course I enjoyed every minute of every video and every line of every exercise. Thanks, Andrew and Laurence
创建者 Romilly C•
Apr 23, 2019
A very well-presented, well-structured course with a good balance of theory and practice. It was fun, and I learned a lot.
The two presenters both have a warm style and a deep knowledge of the subject.
An excellent starting point for Python-literate developers who want to get to grips with TensorFlow and Deep Learning.
创建者 Jojo A•
Feb 13, 2021
Laurence Moroney explains the intuition behind some NN concepts quite clearly. He is a "coder's mentor" in the positive sense of the expression. Of course, it is ideal if one already had done the deep learning specialization. I understood better some of the concepts if first learned in the earlier specialization.
创建者 Dinesh P•
Apr 11, 2019
I really liked the way the mentor went through the course. I believe there is till a lot to learn about tensorflow and deep learning and i am looking forward to the next courses ! I also want to say thanks to the mentors for providing my scholarship because i won't be able to study and enjoy this course without it!
创建者 Aniket S•
Oct 10, 2021
I think its a compact course with a great amount of information put together. I think that the course has very good balance of basic and advanced information. The course instructor takes very simplified way of teaching, like walking the learners through the codes and explaining how everything works. Great course!!!
创建者 Ronny K O•
Aug 10, 2020
A while back I chose to do Java over Python because I thought it was easier. Looking back now, I realise that it is the other way around. I have learned about Tensor flow and Convolution Neural Networks and as it turns out, Python is 10 times easier than Java. I am glad I tried out this course.
Thanks a lot Coursera
创建者 Jonathan P•
Jan 25, 2020
I liked the course very much!
It is definitely required to know python quite well and would be good if one had a liitle bit of pre-knowledge in the field of ML / Stat or equivalent.
Everything was very well explained, the exercises had exactly the right amound of complexity and I never felt "lost" during the course.
创建者 Pratik M•
May 31, 2020
The tutor Laurence Moroney is very good in explaining Neural networks basis with Tensorflow. I highly recommend this course to any individual planning to become ML Engineer. I would still look up for indepth study on some topics like knowledge on when to use different number of ConvNet filters (eg. 16, 32, 64 etc)
创建者 Shilin G•
Jul 18, 2019
I think this course is great, serves its purpose of introducing TensorFlow as a tool. For people who are looking for more in-depth knowledge of deep learning, you should go for a proper deep learning specialisation. This one is great for people who already know something about deep learning but new to TensorFlow.
创建者 Melwin J•
Apr 26, 2020
it gave a very good introduction to tensorflow . i realy like the course. I had spent a lot of time learning algorithms, working and the theory behind artificial intelligence .this course has helped me to put all what i have learned to practical use. i suggest this to all those who want to atart with tensorflow.
Apr 6, 2020
Very crisp and clear understanding of Tensorflow in AI , Deep learning.
Post this course I am well versed with programming paradigm of Basic NN, Convolutions, MaxPooling, Filers , CallBacks , model training,validation, prediction. Appreciate the exercises and explanations. Feeling handful of experience with it.
创建者 Artem D•
Jan 20, 2020
That was interesting and not hard, so you won't be afraid of coding =). I do not recommend to take this course if you have no theory base regarding NNs (in this case first complete DL specialization by deeplearning.ai). This course is high-level, expecting more of deep dive in the following courses =). Peace!
创建者 Jian C•
May 13, 2020
Solved a lot of my problems that come up to me when I read the code written by other people in Github/Kaggle. I have taken ML course with python. (no framework) This would be a great material for someone like me who know some ML and don’t know Tensor-flow. You can go over the whole course in just 1-2 days.
创建者 meet d•
Nov 20, 2020
This course provides knowledge about Tensorflow APIs, not the fundamentals of Deep Learning. So, I highly recommend learners to complete Deep Learning Specialization course offered by Deeplearning.ai first. This course will refresh all the concepts. Course covers all the scopes for what it is developed.
创建者 Mathis V E•
Dec 27, 2019
For someone new to AI/ML, this is a good place to start. If you're already familiar with deep neural networks, conv nets, ect (as explained in Andrews Deep Learning specialization) this course will be a breeze, but it will teach you how to use tensorflow as intended. I did this course in about 3-4 hours.
创建者 Ishwar N•
Apr 15, 2020
The best practical oriented and hands on course on Tensorflow, highly recommended. Laurence Moroney (Google) is a great teacher, love his pedagogy, he does not delve too much into mathematics and still makes concepts very clear, because of this I could finish the course in 3 evenings instead of 4 weeks.
创建者 Rodolfo V•
Jun 29, 2020
I loved this course! Thanks to Professsor Moroney for his excelente lectures.
(If a could contribuit with some thing, maybe more exercises and few more explanations about the parameters on function. Of course, wether the explanation on parameters come in futures course, please desconsider my comment. )
创建者 Omar R L•
Mar 13, 2020
Great course, I was really interesting. Just one thing the notebooks are not well explained like we're used in the deeplearning.ai with Andrew. But no problem it makes it more challenging. Another thing, I don't know if this course is using the new version of tensorflow but I hope it's using it (2.0).
创建者 P.sai c•
Jul 6, 2020
as a beginner i have no idea on how to implement the CNN even though i know the concepts of CNN it was hard to implement but this "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" gave me a basic idea on how to implement them and the tutorial was too good