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 Arpit G•
Overall the course is very good . It gives a simple introduction to Deep Learning especially ConvNets. I would have loved if some of the concepts like Convolution were explained in more depth using some cool animations. The good thing about this course is that it never appeared to be a burden , rather it was a joyful experience.
By Hessel C W•
This course offers a very solid introduction in tensorflow for CNN applications. One comment I had is that the quizzes did not test for deep understanding at all. They were more things you'd remember literally from the text and explanation, rather than new questions that can only be answered with some deeper understanding.
By Adarsh k•
It's really a good course for hands-on in Deep learning using TensorFlow and Keras.
It's going to be great fun with very short videos and getting more focus on practical aspects.
This course is very precise and I really liked it and recommend for everyone who have their interest in AI, Machine Learning, and Deep Learning.
By Kaan A•
With this course I learned new things on tensorflow. However, It feels like it is very very simple introduction to tensorflow. After finishing Deep Learning Specialization I thought that this Specialization will be complementary. I'm disappointed a little bit on the first course. I believe other courses will be better!
By Rafael R C•
Me gustó el curso, muy explicativo y lleno de recursos, aunque solo rasca la superficial. Hay muchas cosas mas por aprender. Los foros no reciben respuesta tan rápida. Si bien es cierto google Colab, ayuda a esta tareas, cuando se quiere pasar al computadora personal se complica por versiones o librerías faltantes.
By Wyatt M•
Completed course - most issues I ran into involved submission related issues as I was running everything alongside on my machine and was successful. Part 4 also seems a little lacking in the middle for hands on time compared to the other sections, but I was able to figure it out by taking notes during the videos.
By Nikolay R•
Very, very basic course for absolute beginners. It makes sure you know enough to build and train models for simple image recognition tasks. 4 weeks is a crazy long period for it, though. I finished it in 2.5 days (I have previous exposure though), but even a beginner should be able to do it in 1 week.
By Ayush K•
It is quite a good course. But you need to finish the additional materials along the way to really understand the purpose of parameters in different sequential layers. But that's only if have never studied DL. If you have, then like me you can rather focus on the computational features of tensorflow.
By Mashood M M•
This course although thought me the basics of DNN but there can be improvements in the code (notebooks) and in the videos as they only tell the abstract part of the concepts. Overall the course was great it helped me alot from knowing what is keras to the journey of building my own model. Thanks
By Vivek G•
I expected that they would teach "Tensorflow" not Keras(its high level implementation), If youre here for learning tensorflow then maybe you should refer to some books. Overall the content is good if are new to Deep Learning and want to learn keras. Thanks Andrew-ng Thankyou Laurence Moroney.
By Aman G•
Wish it was a little more in depth about things that it taught. It was a very high level overview. Considering that it's a beginner, may be that is how it should have been. But I personally would have liked to learn things in-depth. Kudos to having us do lots of practical assignments!
By Vaibhav G•
The course content was really good. But as greed for more never ends, it would be great if we could be able to shed some more light on few gray areas like in what situations we should go for 64 filters or 32 filters, how to determine size of the hidden layer in terms of neurons etc.
By pavan b g•
Thanks to Laurence and Andrew for the sharing there knowledge which have all the foundation requires to get the AI understanding using Tensorflow , keras. Simply awosome .
This is really a refresher for those who already are into datascience field, even for the aspiring students too.
By Renzo B•
This is a good introductory course for using Tensorflow. If you have finished the deep learning specialization, you will easily breeze through this course. It is an overall great course however, I feel that the instructor could have discussed the concepts a little bit deeper.
By Antoine J•
Can be hard to figure out what needs to be done in the exercises (excepet week4). Also it would be great to have more resources available to understand the underlying maths behind some of the algorithms. Other than that, good intro to the TF library (mainly keras for NNs)
By Sathiya N C•
decent course to begin with, but doesn't take you into the details of all the parameters, functions used. Instead focuses more on solving the problem easily through Tensorflow. Could be better if given the rationale behind using all functions, choice of parameters etc.
By Kaushal D•
This is fantastic stuff, made simple if you have done earlier course of Deep Learning from Dr. Ng this is at another level, I feel little confident that I may be able to code without copy pasting.. hopefully the next course in the series gets introduced serious stuff..
By Ganesh M S•
Good course which gives the brief explination on how to use the TensorFlow framework to solve many computer vision problems. This course is designed to such that the beginner too will feel more confident understanding the details of the machine learning techniques.
By Pog P•
Overall, pretty good, clear information. The submissions were a bit annoying because of bugs with the system, but that wasn't anything to do with the course content.
Some of the "graded" exercises could have been a bit more thought-provoking and less "copy & paste".
By Ruchit N•
This course actually gives you hands-on coding deep neural networks starting from very basic ANN to image classifier. The explanation is easy to understand and is more focused over practical part which is very important. Overall the course is an excellent starter.
By NADER A•
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.
By Gothireddy y k•
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!
By Gerardo S•
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
By Philippe K•
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).
By Surya K S•
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.