Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

If you are looking for a course to build up your ML/DL coding skills, this is a very interesting and easily explained course. Highly recommended for any learner in the field of DL/Computer Vision.

Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.

a very nice course on ConvNets. Image journey through convnets and logic behind using specific type of layers. you can very wellunderstand the keras structure to build convnets through this.

Loved it. It was surely targeted for beginners first two weeks assignments were easy last two assignments had some work to do. But most of the Hints/answers are available in the comments.

I gained a hand full of knowledge from this course.

This course has given me a very good insight into convolution neural network work.

I thank Laurence Moroney and Andrew Ng for this course.

Well structures course. No matter your level of expertise you can learn from this course and implement models more professionally and improve answers accuracy using this course techniques.

A very nice course to finish understand well convolutio, data augmentation, overfitting in neural network, as well as transfer learning and making classifier for binary and multiclass.

Easy to understand how to use important techniques like image augmentation, dropout and transfer learning concerned with convolutional neural network. I enjoyed the course very much.

This course is so best for the new practitioners! Because when you are learning deep learning theoritically, this course will help you at such level to make you practice these highly.

Brilliant course this. I especially enjoyed the parts about image augmentation with the use of ImageDataGenerator and the transfer learning addition wit huse of the Inception network.

Videos are short and to the point. Coding assignments are progressively getting harder, and that is a good thing. This course complements Deep Learning specialization really well.

Excellent course. learnt new techniques like image augmentation,transfer learning , dropout in a fun way, Really appreciate the videos being small, to the point. Highly recommend.

Fundamentals Concepts and Coding related to CNN-Classifications, Augmentation, Dropouts, Regularization and Transfer learning are well presented. Enjoyed a lot during the course..

Laurence is an excellent teacher and this is a incredible course. I love topics like Computer Vision, Deep Learning, and this is an excellent step to make great things about that.

This course really helps me a lot.

Instructor Laurence Moroney explains all topics so clearly. Thanks to him.

Now I 'm able to implement TensorFlow for my undergraduate research.

Probably the best course that exists, after Andrew Ng's course of course.

Gave a solid understanding of Convolutional Neural Networks, can't wait to play around with it for real.

I can bet this is a great course, to get started with convolutions, and image processing, the course works notebooks are really good and especially transfer learning is awesome

it is quite straightforward and clear. It is quite a good course for anyone who wants to starts the implementation of CNN in tensorflow without strong mathematical background.

this is a great course,teaching is outstanding. this course has covered all basics needed for deep learning and CNN.this course also give us good understanding of tensorflow.

The material was well presented and easy to follow. The instructor skillfully described the functionality in the code... to reinforce to training objectives for the lesson.

Great course for learning CNN in TensorFlow. Only the last week's programming assignment's statement was pretty vague. Hoping for better clarification in problem statement.

Clear explanations on how to use tf for image recognition, very useful the part on transfer learning. The only flaw is the absence of a chapter/section on object detection.

Teaches in the flow of interconnection with the past studied topic. Lab Assignments have really helped to understand easily. To learn about CNN, its one of the best course

The good explanation about how to implement good design of machine learning to avoid overfitting etc. Very useful resources (dropout, augmentation, and transfer learning).

Very hands-on experience learning through this course. But only with a little of content each week comparing to the deep learning specialization by the same organization.