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 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.
By Abode D•
The course is pretty good at getting one started with deep learning using TensorFlow. The explanations in the google collab sheet during exercises helped to reinforce what the instructor explained in the video.
By 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.
By Aniruddh S C R•
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.
By Manali S•
The course has very good content and is explained in detailed but also with simplicity so as anyone can easily understand. Thank you Laurence Moroney sir, Andrew NG sir and coursera for this wonderful course.
By Aboli M•
The course is fantastic, but if a small note could be provided, before the assmts, for the student to delete the last two cells of the notebook, which could probably cause errors in submission, would be great!
By Saurav G M•
This course is great for beginner in tensorflow like me. I did have some idea about the topics covered in the course, but not the practical implementation, and this course taught me that in a much simpler way.
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 H 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 1•
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 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 Mourad K•
really good course to get started or refresh knowledge about tensorflow. I like that some contents is let for the most curious of us so it makes the course faster for the people who already know about it.
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.