Very good introduction to Keras with a lot of hands-on excercises. In addition, there were some links to the internal details of the algorithms which were applied.

For me it is the best way to learn something like Deep Learning, after getting some informations in theory and practice trying by myself. So it was really helpful.

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,

Great introduction, the assignments are easy and practical- overall would highly recommend if you have interest in supervised machine learning for image analysis

got VERY hung up on week 3's test as numpy was not super intuitive to me; figured it out and got littearlly everything else after including week 4's final test.

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.

This was my first time having Laurence as an instructor. He does an excellent job presenting the material. Great to see Andrew here as well--a community legend!

Es un curso introductorio excelente, con buenas explicaciones y lecciones que ayudan a entender qué es lo que se está programando y para que se está realizando.

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.

I think this course is very practical and hands-on. The design of this course is precise and comfortable for me who is not an expert in this field. Thanks again

My goal and hope was to teach me how to use machine learning in practice. The course gave me a fast track of implementing machine learning in Colab TensorFlow.

Great course to get started with building Convolutional Neural Networks. This is probably the best way to get beginners into Deep Learning for Computer Vision.