Chevron Left
Voltar para Convolutional Neural Networks in TensorFlow

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

4.7
estrelas
2,463 classificações
360 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

JM

Sep 12, 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.

MH

May 24, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

Filtrar por:

326 — 350 de {totalReviews} Avaliações para o Convolutional Neural Networks in TensorFlow

por Alejandro B G

Sep 03, 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 Jingwei L

Aug 30, 2019

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

por Marc-Antoine G

Nov 13, 2019

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

por Samuel K

Nov 02, 2019

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

por David H

Nov 17, 2019

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

por Sailesh G

Nov 02, 2019

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

por Mohammed F

Jul 06, 2019

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

por Aleksey V

Nov 22, 2019

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

por Shubham A G

Aug 25, 2019

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

por Michael E

Feb 14, 2020

Would like to have seen some information on techniques such as batch normalization and residual layers.

por Enyang W

Nov 06, 2019

too easy! not much to learn actually. all the videos could be one lesson only

por vedansh s

Sep 13, 2019

The concepts are not as clear as in other courses.

Dissapointed a little bit

por Wellington B

Aug 05, 2019

need to watch Andrew Ng's course on deep learning before watching this one

por Joey Y

Aug 04, 2019

The course seems to be getting more loose than the first course.

por Pranav H

Dec 02, 2019

Coding exercises should be made compulsory and for the grade

por Eyal B

Feb 16, 2020

Didn't provide a real understanding for transfer learning

por Mouafek A

Jan 04, 2020

not much of insights or details, and it's too easy!

por Alejo G

Oct 06, 2019

A lot of boilerplate code with few new concepts

por Navid H

Sep 15, 2019

I wish it had real assignments

por Luiz C

Jun 11, 2019

not challenging enough

por Igors K

Oct 26, 2019

I wish it used TF2.

por Masoud V

Aug 21, 2019

Useful but too easy

por Gerard C I

Nov 20, 2019

to much shallow

por Li P Z

Jan 19, 2020

If you have taken Andrew's courses in ML or deep learning, you will be disappointed. The amount of content in the videos and exercises is shrunk down by 75% per week. I think a much better job could have been done of structuring the course, and creating meaningful exercises. The instructor does an OK job of showing you how to use TF, but he doesn't always explain things very clearly, and doesn't always have an accurate understanding of how ML or deep learning works.

por Dhruva G

Aug 21, 2019

The content could have been covered in 15 min. Moreover, I thought you guys will teach tensorflow low level API and estimators etc. atleast in course 2. Also, what happened to the graded assignments ? I finished this course in 40 min.