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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

4.7
звезд
Оценки: 7,043
Рецензии: 1,095

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 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....

Лучшие рецензии

MS
12 нояб. 2020 г.

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 мар. 2020 г.

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 из 1,096 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Zarinah A C

20 февр. 2021 г.

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

автор: SRIKANTH T

12 сент. 2020 г.

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

автор: Gogul I

22 июня 2019 г.

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

автор: Márton B

4 июня 2021 г.

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

автор: João R

23 мар. 2021 г.

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

автор: Carlos S

22 мая 2020 г.

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

автор: George D

8 авг. 2019 г.

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

автор: Rukshan J S

27 апр. 2020 г.

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

автор: Sanjay R

25 июля 2019 г.

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

автор: sushant p

23 нояб. 2019 г.

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

автор: Akash S

24 авг. 2020 г.

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

автор: Satyam s

18 апр. 2020 г.

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

I have learned a lot from this course.

Thanks so much.

автор: Pushpak G

5 сент. 2020 г.

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

Appreciated

автор: Laode M F

26 апр. 2020 г.

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

автор: Peter L

19 мар. 2020 г.

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

автор: Thomas M

3 февр. 2021 г.

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

автор: SUBRAMANYAM R V

4 авг. 2021 г.

It's really a great experience. I will never going to regret in taking this course. It taught me a lot of things.

автор: Tarin N

27 июня 2020 г.

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

автор: Ga W

18 мар. 2020 г.

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

автор: Harish S

4 авг. 2019 г.

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.

автор: ANMOL J

30 авг. 2020 г.

Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow

автор: DEBASHIS G

9 июля 2020 г.

Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0

автор: Raihan R

7 мая 2020 г.

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.

автор: Muthu R P E

15 нояб. 2019 г.

Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow

автор: Ilan A

9 июля 2020 г.

Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.