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.
von Philip D•
Apr 06, 2019
Decent enough but much too abbreviated and lacking the depth I expected from a deeplearning.ai course after taking their deep learning specialization.
von Stavros K G•
Mar 10, 2019
I know that it is an introduction but I would like more staff .
von Stephen F•
Jun 07, 2019
I mistakenly bought this course , Note 43 euro is for this one simple module, be aware please!!
von Michael B•
Jul 31, 2019
I love the courses put out by deeplearning.ai. I previously took the 5 course deep learning sequence taught by Andrew Ng (which I would also recommend), and am VERY pleased with the first course of this sequence taught by Laurence Moroney.
The lectures are broken into small, digestible chunks. The quizzes are hit core knowledge points w/o any tedious "can you do this by hand" nonsense you see in some other courses. The notebooks provided in the course offer useful templates for adapting to other problems. Just amazingly well done in every aspect.
Looking forward to taking the rest of the sequence!
von Prafull P•
Nov 09, 2019
This course is an excellent starter for people who want to learn about Tensorflow and how to use it to create neural network model very quickly . The Instructor explains every thing in very lucid language.Course is well organized to help you go from beginner to an intermediate quickly. Great articles and videos links will also come your way so even that would help you improve and enhance your knowledge. Highly recommended for someone who wants to learn about Tensorflow and enter into the field of ML & AI. A Big Thanks to deeplearning.ai for creating such course :)
von Hannan S•
Oct 28, 2019
First of all, the course was amazing! I found it great for the following reasons:
- Laurence Moroney (Instructor) was very professional and clear while delivering the knowledge
- The introductions by Andrew NG were really nice
- Easy to understand codes and understanding of thr underlying principles
- Varied topics such as CNN, NLP & Time Series
- Very insightful by providing expert opinions about different ways of model optimization
I really enjoyed the course and I thank the instructor for the same :)
von Matthew E•
Oct 23, 2019
Although the concepts can be a bit technical, the explanations are very accessible. You learn how to implement ideas instantly, and by the end of the course, you are very well suited to experiment on your own. I'll be continuing the specialization. This, together with the deep learning specialization (which I have already taken) will I believe fully prepare anyone to work or do basic research in this field (at a fraction of the cost of a CS or AI undergraduate degree). Fantastic!
von Sripathi S•
Jan 21, 2020
Very well structured course to get started with Deep Learning using TensorFlow. Laurence explains the flow of the programs and key concepts in a clear manner, which made it easy for a beginner like me to get familiar with the material quickly. Working through the problems without getting stuck in the theory was a fun way to see the possibilities of AI first hand and learn by doing. Highly recommend this course for any developers or programmers who want to explore deep learning.
von Rishiganesh V•
Jun 19, 2019
The author, is way of teaching make me understand more into the fundamentals of the concepts. Now i have the strong understanding of these concepts with Good hands-on-experience.
But the current course i only audit, because of financial problem. If you provide me certificate for completion of these course it will be definitely useful for my career goal.
My leaning never going to stop , hereafter i will learn lot of courses from coursera with the financial aid.
von neil h•
Jul 09, 2019
Very well-balanced presentation. Started considerable fluency in python, advanced education in digital-signal processing, but limited experience with ANNs in general and tensor-flow in particular. With this course — and some background in Dreyfus 2005 and Haykin 2009 — I feel like I'm starting to get the picture. The hands-on was straightforwardly presented and extensible, with just enough wrinkles to make you think and stump the chumps.
von Neel M•
Jun 24, 2019
This is an amazing course, and one can feel the hard work they have put into it. I was able to experience so much theory in practice, image augmentation, dropouts, transfer learning. Learning experience? Much better, it was a learning enthrallment! This is one of those courses which make deep learning looks so easy, and approachable. Highly recommended for anybody, and coursera should have more courses like this.
von Poornima R•
Mar 24, 2019
I loved how this course is structured. I'm right now preparing for my interviews and this course had concepts explained in like awesome way that you could use to answer in interviews. The google colab platform was very helpful and tutor Prof.Lawrence was incredible at explaining the codes line by line. On the whole, I would go over this course over and over again to get my concepts at fingertips.
von 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.
von 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.
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
von 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.
von 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.
von 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%.
von 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.
von 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.
von 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.
von 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
von 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.
von 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!
von 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.