Nice examples and working with new datasets helped a lot to define and understand new types of inputs and new ways to use ImageDatagenerator

Again great explanation as first course(Introduction). Methodically increases the complexity without loosing the sight of the ultimate goal

This whole course series is good for absolute beginners. Don't expect any advanced specialization. As a beginner, I'm enjoying the series.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

This was a great course and the quarantine restrictions keep me hooked to it. Learned quite a bit about machine learning and TensorFlow.

Really explains the material thoroughly and efficiently. I really feel like I understand the use cases / applications from this course.

I have learned a lot, this course is very good, just one comment, please check the calification system, always failed in the last test

I learnt a lot of augmentation and image processing methods using tensorflow and several other tools for computer vision applications.

The course is well structured and explained from trainer I feel that I have more information and get knowledge in tensorflow practices

I hope all courses to be like this course or like andrew's ones. Very clear, easy to follow along, tons of info, direct to the point.

You will learn a lot from this course 2. I would recommend taking are looking to learn about CNN in TensorFlow. It's easy to follow.

A sequential and easy to understand course. Contains all the basics to learn how to construct and improve Conv Nets on Tensorflow 2.

Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.

Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)

It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.

This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.

A very nice and comprehensive course for all starters. Provdes you with a good kick start in the field of AI and Neural Networks

Great course. Thank you, Laurence.

However, I should admit submitting the exercises is a pain sometimes. Discussions help though.

Genial el curso. Muchos ejemplos prácticos y usables para todo tipo de situaciones. Me gusta mucho como explican los profesores.

Great course. Introduces you to various data generation techniques which can be really useful when dealing with smaller dataset.

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

Although the topics are getting more complex, I liked how the lecturer keeps it simple and relates each data to the real world.

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

Clearly explained every detail of the topic. Assignments were not too much challenging in case you did Lab exercises properly.