Chevron Left
Volver a Convolutional Neural Networks in TensorFlow

Opiniones y comentarios de aprendices correspondientes a Convolutional Neural Networks in TensorFlow por parte de deeplearning.ai

4.7
estrellas
6,216 calificaciones
964 reseña

Acerca del Curso

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Principales reseñas

MS
12 de nov. de 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

JM
11 de sep. de 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

Filtrar por:

126 - 150 de 957 revisiones para Convolutional Neural Networks in TensorFlow

por Ajay C

19 de jun. de 2020

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.

por Vishnu N

1 de ago. de 2020

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.

por maryam m

26 de oct. de 2019

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.

por clement L R

22 de ene. de 2020

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.

por Md. S R

31 de jul. de 2019

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.

por Erling J

12 de jul. de 2019

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.

por Marko N

4 de sep. de 2020

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.

por Mohammed B S

17 de abr. de 2020

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.

por Sai K K K

9 de ene. de 2020

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

por Piero C

6 de sep. de 2019

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.

por Sawrup K

13 de jun. de 2020

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.

por Pratik G S

8 de jun. de 2020

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.

por Raghuraj M

4 de jul. de 2020

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

por Yunya G

13 de nov. de 2020

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.

por Rushikesh N P

7 de feb. de 2020

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.

por Manuel R

7 de jul. de 2019

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.

por Md. A

13 de sep. de 2020

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.

por Federico D

31 de may. de 2020

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.

por Mausam R

17 de nov. de 2020

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

por Arif F L

20 de abr. de 2020

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

por Eddy P

19 de jun. de 2019

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.

por Ulugbek D

18 de nov. de 2019

The course is straight to the point. The instructor provides his code structure too, which can be a great reference to people are keen on implementing the TF right away.

por Elson D

7 de jun. de 2020

Awesome Course. This course has enriched my concepts in Convolutional Neural Networks. This course also motivated me to do more courses on Coursera. Thank you Coursera!

por Himanshu S

25 de may. de 2020

Thanks to Instructor for this wonderful course.I learned various techniques including CNN,Data Augmentation and Transfer Learning along with Multi Class Classification

por Ілля К

12 de nov. de 2020

Deep, comprehensive and step-by-step introduction to CNN. Explanations are easily formulated and can be understood by non-expert users which seek to learn about CNNs.