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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
Оценки: 1,794
Рецензии: 249

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

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.

PS

Sep 14, 2019

An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.

Фильтр по:

126–150 из 248 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: 林韋銘

Aug 20, 2019

gj

автор: NWACHUKWU A C

Sep 10, 2019

Great course.

автор: Nnodu K

Sep 10, 2019

This is a great course but I will advise taking Andrew's "Deep Learning Specialization" before this.

автор: Simon Z

Sep 10, 2019

Excellent. I learned after a couple of years working with neural networks new topics and implementations. I think it would be a good idea to include also here an exercise that gets graded at the end such that we take our time and can try out if we can make things work.

автор: Javier M

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.

автор: Apurv J

Sep 13, 2019

Short sweet and perfect videos to be understood very easily.

автор: Peter B

Sep 14, 2019

An amazing course that was written by masters of the field

автор: Rahul R

Sep 14, 2019

Very well designed course on TensorFlow. Specially, a huge thank to Laurence Moroney for this wonderful course series. I really enjoyed the learning.

автор: Parab N S

Sep 14, 2019

An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.

автор: Richard S

Sep 15, 2019

Great course digging into convnets, augmentation, transfer learning and multiclass classification

автор: 李英斌

Sep 15, 2019

nice course!

автор: Shahriyar R

Oct 24, 2019

Decent introduction to how to use CNN and Tensorflow

автор: Yergali B

Oct 06, 2019

Thank you, deeplearning.ai! I've understood more deeply about CNN.

автор: maryam m

Oct 26, 2019

Well structures course. No matter your level of expertise you can learn from this course and implement models more professionally and improve answers accuracy using this course techniques.

автор: Rodrigo V R

Oct 27, 2019

I liked a lot, was really straid to the head on the basics to practice CNN.

автор: Anamitra M

Sep 19, 2019

Superb course. Complex topic such as transfer learning, and image augmentation have been beautifully covered, along with easy to follow implementations.

автор: Huajiang L

Sep 17, 2019

Very easy to learn. Very practical and useful!

автор: ANURAG A

Aug 30, 2019

excellent

автор: Mustafa S

Aug 30, 2019

Super great !!!!!

автор: Michalis F

Sep 25, 2019

simple, to the point and good notebooks! thanks

автор: David A

Sep 23, 2019

Very clear and concise introduction!

автор: Ed M

Sep 23, 2019

Amazing practical examples and great use of TF 2.0

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: Wei X

Sep 25, 2019

I originally expected to learn more pure TF related stuff. But instead I learned Keras. Data augmentation with Keras is quite easy. Transfer learning is also easy to do if there is Keras model there already. But I do hope to learn a pure TF tutorial that are more common when you download other people's TF model and practice with your own data.

автор: Daniel H

Sep 25, 2019

Great lessons to learn this technology step by step!