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

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7,384 classificações
1,150 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

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..

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!

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1026 — 1050 de 1,152 Avaliações para o Convolutional Neural Networks in TensorFlow

por Yuvraj G

11 de abr de 2020

Too basic course. If its a practical course, then there should be exposure to more functionality of keras and not just the basic one which can be done from a blog/documentation.

por Ted T

2 de jan de 2021

Lawrence's lectures were good, but exercises were disconnected from course material. Having to do exercises in Google Colab and then redo in Jupyter notebook was inefficient.

por Andrei I

13 de fev de 2021

Too easy. One can finish all exercises without learning much. The quality of explanations is poor. The whole course is but a short walk through Laurence's Jupiter notebooks.

por Andrea B

1 de jun de 2020

the topic is interesting, and the course is quite hands-on, but the treatment of the subject is extremely basic. Videos are too short and somehow superficial and incomplete

por Michele M C

18 de fev de 2021

cnn implementation theory should be covered better, giving more reason why the code is written this way, furthermore the last homework of the course was bad designed

por Seif M M

20 de set de 2020

very good course, but think it needs to go deeper in the functions and tools in tensorflow for conv netwroks, i have the feeling that the course is somehow shallow.

por Adnan

8 de jun de 2020

It was a great course, but in my opinion, it could have been even better if it involved more concepts & APIs to explore apart from the most in-use TensorFlow APIs.

por Ethan V

17 de ago de 2019

Solid content, but it feels like it's not *very* much on top of the first course in this specialization. I think these two courses could be combined into one.

por Madhav A

16 de out de 2019

The course is good for beginners as it is very basic. It needs more advance topics like Detection using TensorFlow. Have a lot of scope for improvement.

por Moeen T

19 de fev de 2021

There wasn't enough useful content. There were also many problems with the programming assignments, specially in the last week's assignment.

por Alejandro B G

3 de set de 2019

Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it

por ABHAS B

9 de abr de 2020

The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.

por Ameya D

17 de jun de 2020

This course is more of hands on activity in tensorflow. You need to have good understanding of CNN prior to doing this course.

por Amit C

18 de mar de 2020

Content is very limited.I wish they could have gone in-depth covered more areas of CNN like object detection ,segmentation etc

por Jingwei L

30 de ago de 2019

The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.

por Harri V

26 de jan de 2021

Week 4 final assignment was quite bad, because there was new Python/Numpy stuff which was not covered at all in the course.

por Marc-Antoine G

13 de nov de 2019

Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.

por Samuel K

2 de nov de 2019

Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.

por Daniel D

26 de mar de 2020

Pros: the course teaches CNNs clearly and concisely.

Cons: the memory issues on the last assignment wasted a lot of time.

por David H

16 de nov de 2019

Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.

por Shreenivas

22 de dez de 2020

Good content. The coding and assignments need significant improvement. There is no support whatsoever in assignments.

por Sailesh G

2 de nov de 2019

Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.

por Daniel Y

27 de fev de 2021

Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.

por Mohammed F

6 de jul de 2019

Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.

por Alexey V

22 de nov de 2019

complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.