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.

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.

It's really awesome course that you can get basic information of Deep Learning.

I definitely recommend you guys who wants to step on to the deep-Learning technique

GREAT VIDEOS

GREAT EXAMPLE SETS THAT ONE CAN TRY OUT

GREAT SUPPORTING RESOURCES INTRO (COLAB)

OVERALL OUTSTANDING - MORE RNN COURSES FROM LAURENCE ARE NEEDED

THANK YOU

Neural networks taught as simple as possible. At the same time, an initial but insightful overview is given of what features are and how networks represent things.

I really loved the way this course has bee delivered. It was well explained and the exercises were really fun. I look forward to complete the whole specialization!

Really good. Its been a wonderful to look deeper into the Tensorflow, and to know about new tools which are very useful during training such as callbacks in keras,

Friendly to beginners. Great start point for people who want to program with tensorflow. Introduced basic workflow of dealing with image classification problems.

This is an excellent introduction to Tensorflow. I had experience with ML, but Tensorflow helps speed to market. The course material and presentation is awesome.

This is a very nice course, Laurence has a way to make the course easy going and interesting, and the practical exercises are very good to begin with TensorFlow.

A very good, quick summary of the basics of tensorflow using simple problems. Callback was very helpful to learn about, thanks for clarifying the code for that!

An Exceptionally good starter for Machine Learning Experts. It has all ingredients to immediately start coding. It helped me a lot to resolve few of my problems.

It's a good course to boost your data science path specially in deep learning if you want to progress in object detection part.

Thanks for providing this course.

Excellent course, the pace is also good, short and informative videos, exercise also structured well some things purposefully left out to enhance self-learning.

An Amazing introduction to the practical applications of Deep Learning. Everything was really well explained and the course progressed in a step by step manner!

Nice course and the assignments were nicely integrated and relevant. Still think it would be nice if the goal was more relevant than to just overfit every time.

Awesome introduction to Tensorflow. I've taken Deep Learning theory courses, but this is my first exposure to a DL library. Looking forward to the next courses.

Good exercises that were easy to follow. The jumping between Jupyter and colab was a bit annoying especially as I wanted to copy the content to my own computer.