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返回到 Convolutional Neural Networks in TensorFlow

学生对 DeepLearning.AI 提供的 Convolutional Neural Networks in TensorFlow 的评价和反馈

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8,216 个评分

课程概述

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 DeepLearning.AI TensorFlow Developer 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 Developer 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....

热门审阅

AK

Jun 4, 2020

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.

TM

Oct 5, 2020

Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.

筛选依据：

1026 - Convolutional Neural Networks in TensorFlow 的 1050 个评论（共 1,269 个）

创建者 Paul Z

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Dec 19, 2020

Very helpful, however, the last exercise was misguided.

创建者 Salem S

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Apr 2, 2020

apart from the technical issue, the course is fantastic

创建者 Vital

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Nov 25, 2019

Too easy with good background and fast passing course.

创建者 Vittorio R

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Oct 6, 2019

Good, but expected more, for example object detection.

创建者 Taras B

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Mar 23, 2022

It will be very nice to have more coding exercices.

创建者 Haoran C

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Sep 4, 2019

Please transfer the notebook from CoLab to Coursera.

创建者 Ashish R

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Aug 23, 2024

Four stars because ImageDataGenerator is outdated .

创建者 Robert G

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Dec 10, 2019

I would like to see examples with videos, yolo, etc

创建者 KHODJA

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Oct 2, 2019

A more advanced course would be highly appreciated.

创建者 Ruiwen W

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Jul 22, 2020

Assignment material not very aligned with lectures

创建者 Md. S U I

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Jan 24, 2024

Very Basic. Should Have more detailed information

创建者 Gerardo S

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Sep 16, 2020

I feel like this series of courses is too narrow

创建者 Ahmet K

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Dec 30, 2019

Nice course! All detailed and explained. Thanks!

创建者 Jay T

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Sep 1, 2020

A bit hard to understand the final assignment.

创建者 Kailyn W

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Sep 9, 2019

I need more coding practice, not just quizzes.

创建者 Michel M

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Aug 6, 2019

The final assignment was somewhat a steep step

创建者 Zhi Z

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Jul 5, 2019

A good course for Keras but not for tensoflow.

创建者 Aleksander W

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Feb 14, 2021

better than course #1 of this specialisation

创建者 Surya n T S

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Oct 23, 2021

A very practical approach towards learning.

创建者 Prabhat K G

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May 29, 2020

Last assignment needs much more explanation

创建者 RAVI P

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Jun 17, 2020

Programming exercises are a bit confusing.

创建者 Dr. S G

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Apr 17, 2020

Learned many things about computer vision.

创建者 Zanuar E R

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Jan 18, 2022

Good Course, I have learned a lot from it

创建者 zhizhen w

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Aug 10, 2020

a bit too easy for professional engineer

创建者 Yu-Chen L

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Jun 18, 2020

Maybe could be better with more content.