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.
por Cheng-Tsu Y•
May 28, 2020
Great course for starting the implementation of classification model on Keras. Although more detail into theoretical part should be found from other courses or materials, this course definitely provides the very first step in the coding part. For me, with little prior knowledge in python, I did learn a lot by studying the Notebook sample code carefully. So I will recommend this course!
por Abdulaziz A J•
Mar 19, 2020
I am planning on taking TensorFlow certificate, so I finished this course in 5 days. Glad I did that as I did lean how deep neural nets and convolutional neural nets work! I am still in the beginning of my path, so I will keep working hard to finish all of the other courses in order to achieve TensorFlow certificate. Thank you, Laurance and Andrew, for the amazing beneficial course!
por Erling J•
Jun 26, 2019
Elegant and efficient introduction to the plug-and-play Google Colaboration application that let's you easily write and execute Python code in the cloud, as well as the Keras API that let's you access the Tensorflow package to use with convolution and pooling layers. The exercises were brilliant as well and I have high expectations about the following courses in the specialization.
por Sohail Z•
Jul 22, 2019
Great intro by Laurence, very comprehensible. But i think a bit more work should have been done on presentations for deep learning newbies for them to be able to grasp the concepts of difficult topics like convolutions.
Though i would recommend anyone to first complete Andrew Ng's deep learning.ai specialization first, then start this course, it would be really beneficial.
Mar 28, 2020
I think this is a great introduction to Tensorflow 2.0 as a whole. What other reviews may say is that they didn't go into much of the theoretical aspects, yeah that's fine after all this is a course that is meant to be practical by all means. For people who've already taken Andrew's Deep Learning Course for example.
I think the instructor has done a great job! 5 stars!
May 23, 2019
I am a programmer with a little knowledge of statistics. Other courses really dive into the theory and I get lost pretty fast.
This one however just teach you how to use the existing AI libraries without digging deep into how they work and what algorithms they employ.
It was pretty easy for me to follow through with this course and I'd recommend it for any beginner
por Dustin Z•
May 03, 2020
Fun introduction to tensorflow. This course is best if you completed the deep learning specialization before it this course doesn't go into the details of how everything is working under the hood.
The structure of the course is well done with plenty of opportunities to practice.
There are still a few rough edges to smooth out, but all around really great.
por Joydeep G•
Jun 21, 2019
I have completed more than 80+ MOOC from various platforms and many reputed universities and I must say, Laurence is one of the best teacher(s) I came across. The way he teaches (which includes topic content, explanations, and converting complex concepts into simple one) is simply unparalleled.
A BIG THANKS to him and everyone associated with the course.
por Abhinandan M•
Sep 21, 2019
A very good start for tensorflow beginners and a concise refresher for those who have already used the tensorflow framework. Loved the way each code was explained but particularly found the part where we can play around with what each filter is learning as particularly important for anyone going forward with this course. Thanks for this great material.
por Tashreef M•
May 21, 2020
The course was great. However, the programming assignments sometimes didn't have details. Like in one assignment we had to use the reshape() method, but there was no instruction about it. I basically tried it by seeing some errors and from my previous knowledge of Deep Learning practice. Such clarifications should help the course get better remarks.
por Carlos A C C•
Oct 01, 2019
GRACIAS POR TODO!!! Este curso es muy bueno para quienes estamos empezando con TensorFlow. Explicaciones fáciles de seguir y ejemplos muy didácticos. Lo recomiendo al 100%.
THANK YOU FOR EVERYTHING! This course is very good for those of us who are starting with TensorFlow. Easy to follow explanations and very didactic examples. I recommend it 100%.
por Krithika S•
May 28, 2019
It was a thorough introductory course on Tensorflow and Neural Network algorithms. The lessons were perfectly passed and the resources like Google Colab notebooks helped in understanding and working out more examples on our own. Really suitable for beginners in Deep Learning with some previos knowledge of Machine Learning and Python programming.
por Philippe E•
May 02, 2020
This course is coming for me after the Machine Learning course from Andrew Ng and it gives very hands-on answer to theorical part deep dived. Tensorflow is really easy to jump in, and this course give a perfect overview of the potentiel. I really enjoyed the Convolutional explanation about why they are more efficient than traditionnal NN
por Chi-Hug K•
Apr 04, 2019
Great lectures with step by step example and exercises. Just some problem with the week 4 example environment which unable to reproduce the accuracy rate onto another flesh opened colab python2 notebook by some unclear reasons. I would like to know how to debug deep learning networks and wish to learn some more knowledge this topic.
por Yaron K•
Apr 15, 2019
An excellent step by step introduction to the Keras Deep learning framework. Also check this out if you're planning on taking the deeplearning.ai Deep learning specialization .
Also excellent is that the exercises can be done on https://colab.research.google.com, so you don't need a strong computer, or to spend time on installations.
por Deepak V•
Apr 26, 2020
This course very quickly made me appreciate the use of convolutional neural networks in computer vision. It focuses on the use of a few functions available in Tensor Flow and Keras for deep learning without going too much into the algorithms that power them. This makes it an excellent starter course in deep learning using python.
por 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
por 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.
por 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!
por 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.
por 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)
por 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.
por 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 06, 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.
por 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!