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?
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.
By Siddhanth D•
What a crap professor. Really wish Andrew Ng taught this course instead. I have no clue what this teacher is talking about he makes 2-3 min videos of complicated material and blabbers about it while referring us to online videos and other resources instead of just explaining it.
By Mohammadreza M•
The course is very superficial and rarely add something to your knowledge. Assignments are simple and do not teach you how to use TF in your projects.
By Stephen F•
I mistakenly bought this course , Note 43 euro is for this one simple module, be aware please!!
By Ahmad F•
If you're starting out as a beginner AI practitioner, this is a very good introductory course. The prerequisites for going through the classes are really low. You just have to know basic python and the basic mechanics of deep neural networks beforehand. After completing this course, you'll be very proficient at modelling neural networks to classify images with very high accuracy using tensorflow keras.
This course also explains briefly how to import data of your choice to your neural network to train on, which I think is very cool. It also teaches you about convolutional neural networks, which is what the top industry experts use to do their AI jobs. The exercises in this course are well made, they help you really understand the concepts by making you code them by yourself. All in all, this is a very good introductory course, and Andy Morone is an amazing teacher.
By Frank Z•
This course is very friendly to beginners starting to get to know TensorFlow. The only skill needed is basic Python programming. Another good point for this course is students don't have to obtain a local machine that could run the TensorFlow. The tasks could be done over Google Co-lab, which is very conveniently friendly. The only shortcut for this course would be the source codes provided are based on TensorFlow 1.X. Right now, the TensorFlow has released 2.X. Since tf V2 has taken out some functions in V1 as well as changes some expression, it would be very inconvenient if you wanna download the code and test or do your work on your local machine.
Overall, this is a course that I would highly recommend as a beginner.
By Edgar C O•
As an introductory course to the Tensorflow platform I think it is excellent. As it is mentioned in the title this is not a course where you are going to see in depth what it is behind the algorithms or the theory behind the implementation but it provides extra links to other sources where the interested student can read on their own, which I think is good. It is self-contained, the material in the course it is well explained and the ideas about how to use the platform and the ideas of how to solve the problems are well-defined. The exercises are defined in such way that the student can immediately used what he/she learned from previous materials. It is a great introduction to Tensorflow.
By Alan F T•
This is an excellent foundational course on a complex topic. I especially like the application of the course examples in real-world deployment type assignments. The use of colab is very nice, it is not a technology that I have used before however its 'jupyter' like interface is very comfortable and I like how it is deployed and accessible on virtual machines all the time. The only criticism I have is that the assignment grading is a little rigid and there is not a lot of valuable feedback if fails (i.e. it could be badly coded or it could be something as trivial as using the wrong number of nodes in a layer! - this could be explained better I feel)
By Jeremy V K•
Amazing class! As an absolute beginner, I wanted to learn machine learning and AI but didn't even known where to start. I even started a different machine learning course which I could not follow well, and expected similar results with this class. But this class, this class is aimed at beginners, no need for any pre-requisite knowledge and the google colab environment ensures that it doesn't matter what hardware you currently have, since its all done in the cloud. Also the practice notebooks are very detailed about each sections of the program. I'm not a master at machine learning, but atleast after this course I feel that I too can learn it.
By Dhamotharan B•
I have used Tensorflow in my projects but never know some of the tricks which could improve the model.I was very dependent on transfer learning. But, now after getting to know much about Tensorflow, I feel so confident . A basic understanding of how model works with Tensorflow is essential and Laurence Monorey provides you some of those basic tricks and concepts of how neural networks works with Tensorflow. I can assure anyone here taking this course would definitely give a try to adjust the way they have approached towards implementing Tensorflow in their projects. Thanks Andrew and Coursera for bring up this initiative.
By Prashant S•
I found this course very helpful because of working example at every step. First there is step by step explanation of each line of code after which you can play around with the code by making small modifications to it and observing results. It is not heavy on math behind machine learning but there are certainly lot of new terms. Most of time i googled those term to learn a bit more about those. Overall, instructor explanation is extremely good and easy to follow up. Its extremely important to play around with the code samples. All i needed was a browser and no installation on my laptop to finish this course.
By Michael B•
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!
By Pushpak G•
Excellent for any beginner. Watching Andrew Ng anywhere gives you a sense of authority and validates everything. But all the teaching part is done by Lawrence who is equally humble and knowledgeable.
All the theoretical topics covered are explained in brief but there are ample resources on the internet to understand them thoroughly.
The coding part is very easy to follow.Although some python code blocks were typical to understand but again you can always look them up on the internet.
Overall it is a brilliant course for anyone who wants to start with Keras, tensorflow, deep learning.
By Prafull P•
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 :)
By Anirban S•
I love the following things about the course:
a. Very calm, consolidated, and well thought of introduction to TensorFlow. The documentation could be a little intimidating for a newcomer. But this course is a step by step guide.
b. The exercises encourage you to explore more. When you explore more, you learn more.
c. The workload is just enough and you can manage it with your regular course studies and student jobs.
What I wish I had a little more from this course:
a. I wish there was some element of NLP in this course. A little would have helped.
By Victor A•
Great learning experience overall... Prof. Moroney was very patient in his approach and took his teaching one step at a time. So I never felt like I was taking too huge a leap at any particular one time. The links he provides for study were also helpful.
It was obviously a plus to have a great teacher like Andrew NG chip in occasionally a word or two.
Overall, it's a great course and I'd absolutely recommend to anyone interested in exploring the possibilities that computers of today give us in exploring our world.
By Kirt U•
The course material and presentation is excellent. However some of the course tools are complete trash (code autograder in particular - this is because the code that was shipped off to the code autograder wasn't the code I had been working on - it wasn't until later that I realized that the tools were taking predefined [expected] file names and not the code I was working on - this is only year 8 of this otherwise excellent project - 8 years and the tools are still substandard). Also the quizzes are too easy.
By Dipankar D•
When I joined this course, I did some basic projects with tensorflow. But they way Mr.Laurence Moroney took me going through every details of codes,and sharing the ideas and concepts why we use this, when we use that etc., I was so encouraged that I've spent hours to tune the parameters etc. Hats off to deeplearning.ai that I'm able to learn from the experts. At last but not the least, Prof.Andrew Ng has always been an inspiration to me and I'm grateful that he motivates me always by teaching AI like stories.
By Hannan S•
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 :)
By Curtis P•
Coursera and of course the instructors have really got this online teaching down to a science allowing students to cover often quite complex topics in an easy to digest and efficient manner. Even though it does skim the surface it does give a very good 10,000 foot view of the objectives and capabilities of the topic and technologies. To get same perspective on my own would be a lot of googling, trial and error, without the benefit of knowing 100% that I was covering the appropriate knowledge.
By Pranav B•
Introductory level course. Perhaps the best feature of this course is that you start to learn by doing right from week-1. The instructor doesn't spend time explaining every line one by one with every detail. That leaves you to figure out a few things on your own due to which you're bound to remember these details. Notebooks are also much better than the deep learning specilaisation. I often found myself going through the tensorflow documentation - learning and exploring as I did. Fun course!
By Gilles P P•
Cours intéressant, clair et facile à comprendre. L'enseignant est très sympathique et semble passionné. C'est également facile à comprendre même pour un non english native speaker.
J'ai déjà suivit les cours d'Andrew Ng et comme de nombreuses interview d'Andrew et des références sont données dans ce cours cela les rends très complémentaire.
On a qu'une envie c'est de continuer pour en prendre plus sur ce sujet passionnant.
Je suis très satisfait de suivre cette spécialisation
By Rushikesh J•
Perfect Course, It tells you how to implement basic neural network to deep cnn.
Week 1 : Intro to tensorflow/keras
Week 2: building dense neural network; 2 applications fashion mnist and digit mnist
week 3: building cnn, improving accuracy on week 2 applications
week 4: using image generator to auto label the images, horse/human classifier and happy/sad classifier
Overall a perfect course to begin with, though i would advice to have basic understanding of neural network and its working.
By Matthew E•
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!
By Sripathi S•
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.
By HE Y•
This course should be considered as the inception of the Tensorflow when one steps into the field of deep learning. That would be very helpful to build a comprehensible network about this famous framework and how AI is applied to real life. I suggest introducing more practical work, for example, the video in the course, how AI helps the Africain farmers to know the health state of their crops. Using this case as an example might be more exciting from my point of view. Thanks.