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 Luke v E•
A VERY nice feature of this course was the display of the outputs of the convolutional layers. This is always overlooked in tutorials, and I really found a lot of value in this specific portion of the course!
By Abduttayyeb R•
This Introductory course was so helpful in gaining insights on data as well as working with tensorflow. Laurence explained things so well, thanks for this insightful course always greatful to Deeplearning.ai.
By Jan-Hendrik D•
I have worked through many free online tutorials before this. This course managed to keep the introduction simple but quickly moved on to more complex concepts. I learned a lot of new concepts and techniques.
By Omkar K•
It was as I had wanted, concise but informative. Already coming from the Deep Learning course of deeplearning.ai, it was very easy to understand. All I wanted was getting hands-on any dl framework. Well done!
By Andrew A•
Massively helpful course in preparation for my masters degree. Given me a great introductory course into the coding of DL models and given me a chance to see them in action. On to the next course in the spec.
By Akash D•
It is very well designed course,instructors teaches very well,i can understand all concepts and how to solve real problems using using CNN ,want such more projects based on hands on practice ,thanks
By Michael J J•
Thank you Laurence for providing an easy to follow set of videos and exercises. You have a great ability to describe these RNN models in a concise and understandable way. Really helped to get a good overview.
By Anand A•
Very good course. Great introduction to beginners using Tensorflow. Teaches you how to implement CNNs for classification tasks. Would love to learn more about working with sequential time series data as well.
By Deeparaj A C•
As a beginner before this course I was quite intimidated by the coding behind neural networks. This course gave me the confidence and it was a wonderful experience . Looking forward to take up the next course
By VINAY K S•
Very best Intro to the TensorFLow but I would love if the videos are little bit more long and the data cleaning part was also there as we just make models here and don't worry about the data as it was ready.
By Kushal V•
It is a good course and starter for someone who wants to learn TensorFlow and get a knack of implementation of Neural Networks on Real Life Datasets.
Well Structured and articulated course work and notebooks.
By Rahul R•
Very informative and practical course. I liked the image generator portion of the course which makes pre-processing super easy and fun. Thanks to Laurence Moroney for making the course as simple as possible.
By richa k•
very in detail explanations and very good start to the specialization. implemented basic CNN and NN in tensorflow. learnt about image generator for inputting images from file as training and validation data
By ASHWIN J K•
Really helpful course! Lawrence explains in such a way anybody can pick it up without much difficulty. Will suggest this course to everyone who wants to get into Deep Learning with Images using Tensorflow.
By Vaseekaran V•
Really great introduction to Tensorflow. The instructor is great. Make sure to have completed the Deep Learning Specialization in order to get even better experience and practice when following this course.
By Otto D•
I have been looking for a long time a course like this, where the knowladge meets with practise and through the tasks it is possible to have a deep understanding how to use machine learning with tensorflow.
By Kim K•
Excellent, had some minor issues with features that have been deprecated in tf2.x, but nothing major. Two that come to mind are logs.get('acc') = logs.get('accuracy'). Really loved this style of teaching.
By Pablo C•
This training gave me and important experiential background with the tool and the knowledge behind and it has important link to go deeper. This experiential will aid me in further readings I intent to do.
By Shafique K•
A very informative and interactive course, helped me to get started in TensorFlow. I recommend everyone start this course which is one of the first steps to get into Tensorflow in Practice specialization.
By Abheek A•
Well Structured course , Thanks for the Proving Deep learning knowledge. I personally Like explainations from Andrew NG , i like his courses on youtube. May he got some upcoming Courses of ML on Coursera
By benoit v•
Perfect introduction for someone with no knowledge on AI at all. Some concepts are quite complex to understand (e.g. convolutio) but I believe that I need more practice! Thanks for this wonderful course!
By Josian Q•
Super useful and easy to follow. It allows me to go straight to the point and expand on my learning if I so wish. The notebooks are very well constructed and visualising convolution layers is fantastic.
By Lampros F•
A nice introduction to tensorflow, convolutional networks and ML for image processing, good for beginners or as a refresher if you have used old version of Tensorflow that did not have Keras integrated.
By Saptashwa B•
Fantastic course for intermediate students. I liked how Laurence always gave enthusiasm to explore how convolution works through visualization. Very excited for the next courses on this specialization!!
By Rishabh M•
I really liked the way this course directly jumps into the coding exercises. Questions asked in the quizzes are too short and can be improved. Overall, a well designed and easy to learn course. Thanks!