8 de mar. de 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?
13 de ago. de 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 Nader A•
15 de ago. de 2019
This was very helpful , I gained some new information.
I can not believe that I finally used the famous tensorflow library , and this is my first time to do picture classification.
This course leaved me with some questions that I will try to research.
por Gothireddy y k•
30 de abr. de 2020
Thanks for the course! This course pretty much starts from where I left off i.e. Machine learning course from Andrew NG. And, I am happy using TensorFlow which saves a lot of time to experiment and concentrate on the problem at stake than the program itself!
por Gerardo S•
30 de ago. de 2020
I like courses that are longer and more in depth such as the first specialization of deeplearning.ai, I just could not continue that one because financial help always got me financed the first course which I had completed and cannot pay for the other ones
por Philippe K•
26 de mar. de 2020
Nice introduction. Tests are too easy. Exercices are easy too, but still is fine, rather I prefer them to be more challenging (like: 'try to play with number of epochs and other parameter to achieve 99% accuracy for example ' and do not guide to much).
por Surya K•
5 de abr. de 2020
This course was a little too basic and introductory, personally. But the course structure really makes up for it. It is better suited for someone who is new into this field. Since I had half a year's experience in PyTorch, this course felt too simple.
por Niranjan M D•
8 de mar. de 2020
I loved the fact that it was more hands-on than theoretical. Although I did expect some more explanations on some parts.. but the suggested links were good enough for those parts.. Overall, I loved it. Lawrence is really good at what he's doing.
por Shridhar A H•
9 de sep. de 2020
Should have provided more explanation about the assignments. The explanation videos about the topics are no longer than 4 minutes. You should know some of the DNN concepts, then you can understands the assignments in depth and more clearly.
por Jay M•
24 de ago. de 2019
Not being able to run the notebooks on Coursera was frustrating. Fortunately, running them on colab wasn't difficult - just an unnecessary impediment.
Was nice to see some of the more abstract deep learning terms be put to use fairly easily.
por Yueqi W•
11 de ago. de 2019
May be provide resources to learn some senior grammar knowledge for python, because basic knowledge for python does guarantee we could understand the code perfectly, but simply remember its form in case of a particular complex line of code.
por Muhammad H•
1 de may. de 2020
I had a background of Andrew Ng's Machine Learning Course so i did not really have any difficulties with it. However, a bit more detail on conv nets' theory will make this course much better. Still, I loved this. Thank you deeplearning.ai!
por Stephen B•
11 de abr. de 2019
Good course, somewhat easy, but I anticipate a lot more new and interesting and useful stuff in the remaining sessions yet to be offered. It would be good to point out what is now Tensorflow 2.0. I anxiously await the new material. Thanks!
por Rami K•
29 de may. de 2019
Great course, excellent contents. I would have loved more smooth intro about the generator as I found we suddenly went to talking about this generator without prior introduction. To be honest, I still cant see the value of this generator!
por Davide C•
12 de jul. de 2020
Good introduction to TensorFlow, but that is all there is.
Don't expect to gain any understanding in how neural networks are and work from here. It is only about learning the TF API.
I think the title is a little misleading in that sense.
26 de mar. de 2020
Very conceptual course, with few exercises to help you learning how to build a basic convoluted neural network to a dataset of images. I enjoyed it, also because it provides many sources to use if you want to dive deeper on your own.
por Wenjing L•
3 de may. de 2019
I learnt PyTorch prior to TensorFlow. Still found this course is very helpful. Thanks to the instructors. The only thing is, I wish all the reading links could be listed down on one page, and all the notebook links arranged together.
por Mohamed S R I•
21 de sep. de 2019
Laurence is an expert in this field. The material covered in this course is relatively basic, but I think it is a good introductory course for TensorFlow. I was expecting more / elaborate material for the graded assignments, though.
por Mohammed F•
26 de abr. de 2019
I took this course for the more low-level API in TensorFlow since I already had experience with Keras. But it was still a fun course to watch and an excellent start for people who are just beginning their journey in Deep Learning.
26 de ago. de 2019
The week four programming exercise needs some improvements. I can not unzip the data, so I had to download this exercise and finished it in local environment. Finally, I hope some videos can have Chinese subtitle in the future.
11 de oct. de 2020
This one is basically an intro on how to use tensor flow apis to build neural networks. it is very useful to learn how to use these APIs and some Python code. I'm looking forward to learn more about CNNs in the next course.
por Parisa S•
24 de sep. de 2021
I was quiet satisfied with this course, but I recommend if you don't know some basic deep learning concepts or machine learning, it's better to start with that and for learning how to implement in keras, take this course.
por Brian ( B•
16 de oct. de 2019
very practical courses with examples. May address some knowledge on NN architecture design, such as why place an additional flatten layer before the final layer. Some cases, we didn't need such layer and the reason why?
por Ashvith S•
12 de mar. de 2021
Probably one of the best course!! I think the team needs to fix some parts, where the instructions aren't clear. Honestly, it is amazing that we can create a simple machine learning model with just a few lines of code!!
por Tristan M•
20 de ago. de 2020
The assignments in the course felt very shallow and did not go beyond the examples described in the lecture videos. Despite this, the lecture videos break down ML & DL using Tensorflow in an understandable manner.
26 de ago. de 2020
Laurence Moroney is an awesome teacher, can't believe I learned this such in just 1 single course and now I can classify a sad or a happy face and other cool stuff like classifying humans and horse .Great Course
por Maddala N•
6 de may. de 2020
This course gives you a great knowledge of TensorFlow. It is better if they've also included the basics of ML in the course like Linear Regression, Logistic Regression and supervised and unsupervised learnings.