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Comentários e feedback de alunos de Convolutional Neural Networks in TensorFlow da instituição deeplearning.ai

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7,339 classificações
1,140 avaliações

Sobre o 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....

Melhores avaliações

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!

RB

14 de mar de 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..

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226 — 250 de 1,142 Avaliações para o Convolutional Neural Networks in TensorFlow

por Gustavo A

10 de ago de 2019

I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

por Dustin Z

27 de jun de 2020

Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

por Jay H

15 de jun de 2020

It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.

por Diego O S

12 de jan de 2021

Really clear and with the exact amount of examples. (I would like to see more examples and not only the ones seen in class)

por VAGHELA H N S

18 de jun de 2020

course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

por Tze C L

18 de jun de 2020

Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

por Marcin Ś

30 de ago de 2021

Pretty good introduction to CNNs with Tensorflow. Great idea with exercise assignments to finish milestones in the course!

por Bonthu S

22 de abr de 2021

Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.

por Zarinah C

20 de fev de 2021

One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.

por SRIKANTH T

12 de set de 2020

the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take

por Gogul I

22 de jun de 2019

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

por Farid A

18 de mai de 2022

a​wesome teacher

v​ery practical hands-on assignments and excerices

h​elpfull assistants for problem quick problem solving

por Márton B

4 de jun de 2021

I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.

por João R

23 de mar de 2021

It's a great course to get the basics of CNN. The last lab demands some tricks that are covered in the discussion forum.

por Carlos S

22 de mai de 2020

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

por George D

8 de ago de 2019

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

por Rukshan J S

27 de abr de 2020

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

por sanjay R

25 de jul de 2019

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

por sushant p

23 de nov de 2019

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

por Akash S

24 de ago de 2020

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

por Satyam s

18 de abr de 2020

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

por Pushpak G

5 de set de 2020

Again a good course which covers a lot of practical implementation of Conv nets and image classification.

Appreciated

por Laode M F

26 de abr de 2020

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

por Peter L

19 de mar de 2020

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

por Thomas M

3 de fev de 2021

Good course, coding challenges need more emphasis on the deep learning models, would like to code more from scratch