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.
por Norifumi I•
I like how I could learn the convolutional neural network from the practical approach first rather than going into much deeper theoretical parts. Now I am confident that I can introduce a simple CNN for real-world problems.
por P. G K•
Assignment submission should be made a little bit easier and straight forward. though the answer was correct, the submission became hectic. but the course was superb, easy to understand and I was able to gain more knowledge
por Ravi P B•
Nice experience taking this course.Precise and to the point introduction of topics and a really nice way to start programming the models without going much into theory.All in all a nice way to start practical Deep Learning.
por Keary P•
Great hands on experience and high level review of Andrew Ng's Deep Learning courses, which really go under the hood and explain the why. This course explains the how and uses simple exercises that ease you into TensorFlow.
por Carlos V•
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning is an excellent introductory course for Keras and Tensorflow. I quite enjoyed the material and the unique notebooks examples
por Suchith U S•
In this course, I found the right combination of easy to follow tutorial with necessary hands-on exercises to make me feel confident about the topics I learned and take it further to apply for other practical applications.
por Lijun L•
The series are a wonderful resources to learn TernsoFlow, Keras, and many other essential skills/knowledge to improve myself! Appreciate Mr. Laurence and Mr. Andrew for your tremendous effort to make them available for us!
por Anurag S•
Perfect course to start with if you are a beginner candidate in Deep learning, Loved the discussion with Andrew NG at the beginning of each weekly topic, of course, he is an inspiration for many budding AI practitioners.
por Parab N S•
An excellent course by Laurence Moroney on the basics of TensorFlow for training models ina short and sweet manner with good enough number of practical exercises to help us get acquainted with the methodology and syntax.
por Leonardo G•
Um curso muito bom para um aprendizado inicial de Deep Learning e TensorFlow de maneira bem introdutória. Você passa a ambientar-se no cenário do Jupyter Notebook e o Google Colab, ferramentas muito úteis ao contexto.
por VIRAJ T•
This was good course i enjoy this course learning tensorflow and python along with jupyter notebook and also google colab i'm seeing next course which recommended to improve my knowledge with tensorflow and working.
por archit d•
Loved the course, everything was taught in a very simplified way. Would definitely recommmend this course for those who are entering the field of ML and want an online course for gaining proper knowledge on TensorFlow
por Pablo S•
Excellent¡ I'm very happy¡. I believe that is a course very accessible and friendly. It's was a clear course, I learned a lot and I feel very safe, because the teachers know this topics very well.
Thank you, very much¡
por Nipuna S•
A course which gives a great introduction to Deep Learning concepts and tensorflow. Each step covers a wide area with resources given to understand the core concepts more. Ideal for a software developer to understand
por Md. A•
The course is great for learning TensorFlow. Having a previous knowledge of Neural Network and Deep Learning will make the learning easier. Deeplearning.ai's DL and NN course is recommended by me as a per-requisite.
A practical beginner course to tensorflow and CNN, it teaches the basics well and the programming assignments help us to implement them and get the knowledge of how CNNs work and how to implement them in tensorflow.
por PIYUSH G•
The course provide us the basic knowledge of implementing code in TensorFlow which is really necessary before you move to advance. This course is just awesome and the instructor too. Thanks Laurence, it was great.
por Ankit K S•
Laurence Sir and Andrew Sir are both great teachers. Got to know about Tensorflow API keras and how easily one can create models using it. Truly amazed. Thanks Laurence sir for teaching it in such a simple manner.
por Ishan P•
I must say, this is an amazing course for people who are already familiar with these Deep learning practices, but need hands-on practice, if you are not, i would recommend you to complete andrew ng's course first.
por Thomas N•
Videos helped me a lot to understand some concepts in this course. I did the Deep Learning speciallization before and that made the convnet part easy for me. Recommend to do the Deep Learning speciallization too.
thanks for providing me this good course but i had some problems when submitting my codes on exercise tasks. I hardly proved it with help from dicussion. It would be more easier if there were some notices before.
por Miele W•
A nice intro to tensorflow, i suggest, before taking this course (even if it's a real basic one), to have already a background in the math aspects of machine learning and a basic understanding of python language.
por Susant K P•
It is really helped me understanding the syntax of TensorFlow and how we can be able to train complex images, starting with simple straight line fitting. Thank you Laurence Moroney and Coursera for this subject.
por Abhishek K•
Great introductory course in Artificial Intelligence that will definitely pique your interest in advanced concepts of the subject. Laurence Moroney is a great instructor who explains the code and concepts well.
por anirudh s•
The content of the course in wonderful and very easy to understand.But the submissions of assignment part was bit of a mess(especially in week 4). Errors like exceeding size of submissions appeared frequenty.