Really excellent course if you want to get started with tensorflow as soon as possible. Teaches you how quickly you can build a model, train it and perform prediction.

Learnt from the basics to use of Convolution Neural Networks (In Tensorflow) for colored image classification. Teaching method was awesome. Looking forward to Course 2

Very Methodical way of progressing from simple to slightly complex methods in Computer vision. Good intro course leading to more complex methodologies using Tensorflow

Very very interesting course. Mr Laurence and Andrew NG are just the best. They made this entire course easy to understand and explained each concept in great detail.

A very nicely paced introduction to TensorFlow. There is a heavy emphasis on computer vision and it would be nice if there were other applications used as examples.

Excellent course for getting started with the fundamentals of Computer Vision and picking up Keras and Tensorflow skillsets along the way. Cannot recommend it enough!

a really easy to grasp introduction. your work on clearly explained assignments. It turns out that Tensorflow is a piece of cake! Thank you for debunking that for us!

Very good course for practitioners. You can study this course in a very agile way. It is excellent if you need to implement neural networks and you are short of time.

Excellent introduction to Tensorflow. Links to resources for further reading and demos are supplied adequately and that really helped grasp the concepts more clearly.

Gives a basic idea of Machine Learning and Deep Learning with Tensorflow implementation. Amazing for an introductory course. Can't wait to finish the specialization.

I really enjoyed this course and learned a lot from Mr.Moroney.

More courses like this will definitely help whoever interested in this field.

Thanks

Mohammad Karimpour

I found this course to be very interesting and very beneficial. The pace of instruction was excellent. The exercises were challenging yet at a reasonable skill level

Very nice intro to Tensorflow, I was relatively new to Python (but good in Java) and was able to follow along well, even though I new nothing about Machine Learning.

Really liked how coding ConvNets was taught and really enjoyed the resources provided and really had the freedom to experiment a lot with different hyper-parameters.

I really appreciate how this course has demystified neural networks. I'm really excited to continue learning and eventually applying these techniques in my own work.

The course is structured so that one can walk through step by step and learn at one's own pace. Very interesting and encouraging to do more. Thanks to the lecturers.

Excelente curso para saber como funciona TensorFlow, bastante recomendable. Me fue de gran ayuda haber tomado los cursos anteriores de Andrew NG sobre Deep Learning.

This is simple, clean and nice intro to the topic! I recommend to have a little bit of Python background training before jumping into the course. Thank you Lawrence!

It was great to refresh my knowledge on image recognition plus learn about tensorflow classes such as ImageDataGenerator. Thanks for putting together a great course!

Very clear and helpful course. Probably best suited for people who are already programmers and have theoretical knowledge of neural networks but want to learn keras.

Really excellent to apply the concepts learned in the Deep Learning Specialization. Very good practices and many details explaining the implementation of the codes.

Amazing course! Helped me to understand the Python library 'keras' and how it is used to implement Deep Learning using Artificial and Convolutional Neural Networks.

Very easy and comprehensive on the basics of using keras for simple neural networks, I liked the image data generator and the callbacks because they are very useful

Amazing fast track course with clear goals and practical examples. His teaching style is crystal clear and interesting. Looking forward to attend his other courses.

This course makes me to more know about the Artificial Neural Network, Convolutional Neural Network because this is advanced learning from Basic Machine Learning.