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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 4,840
Рецензии: 725

О курсе

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 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 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....

Лучшие рецензии


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.


Mar 15, 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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151–175 из 723 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Tuna A

Apr 30, 2020

This course was excellent for learning the fundamentals of CNNs. However, I wish the exercises and quizes were a little bit more challenging.

автор: Prashantkumar M G

Apr 22, 2020

All the parts explained clearly, and steadily. Ample resources were provided. Assignments were also great. Complexity was as per expectation.

автор: Vidit G

Jul 07, 2019

This course helped me understand the concept behind CNN's and the I was able to implement them in the given assignments. Thanks Laurence Sir!

автор: ayush k

May 11, 2020

Nice examples and working with new datasets helped a lot to define and understand new types of inputs and new ways to use ImageDatagenerator

автор: Dayananda K

Dec 25, 2019

Again great explanation as first course(Introduction). Methodically increases the complexity without loosing the sight of the ultimate goal

автор: Vinoth S

May 29, 2020

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

автор: Vinoth

May 28, 2020

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

автор: Siddhartha P

Mar 25, 2020

This was a great course and the quarantine restrictions keep me hooked to it. Learned quite a bit about machine learning and TensorFlow.

автор: Kellen B

Jan 31, 2020

Really explains the material thoroughly and efficiently. I really feel like I understand the use cases / applications from this course.

автор: Houssem A

Jul 24, 2019

The course is well structured and explained from trainer I feel that I have more information and get knowledge in tensorflow practices

автор: Mohanad Q A A

May 31, 2019

I hope all courses to be like this course or like andrew's ones. Very clear, easy to follow along, tons of info, direct to the point.

автор: Pablo C

Apr 06, 2020

Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.

автор: Aguirre M

Mar 02, 2020

Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)

автор: Prashant J

Apr 01, 2020

It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.

автор: Loveprit S

Jun 12, 2020

This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.

автор: Selçuk K

Mar 31, 2020

Great course. Thank you, Laurence.

However, I should admit submitting the exercises is a pain sometimes. Discussions help though.

автор: Pushkaraj J S

Jul 11, 2020

Great course. Introduces you to various data generation techniques which can be really useful when dealing with smaller dataset.

автор: 邹波波

Sep 24, 2019

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

автор: Akhil K P

Jun 22, 2019

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

автор: Gustavo A

Aug 10, 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.

автор: Dustin Z

Jun 28, 2020

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

автор: Jay H

Jun 16, 2020

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

автор: Hiren v

Jun 18, 2020

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

автор: Lee T C

Jun 18, 2020

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

автор: Gogul I

Jun 22, 2019

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