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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: 1,615
Рецензии: 222

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.

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.

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126–150 из 220 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Aditya B

Sep 04, 2019

Great way to get started with deep learning and perform transfer learning.

автор: Александр З

Sep 05, 2019

Really liked this one with lots of data to play with and examples.

автор: Piero C

Sep 06, 2019

Laurence is an excellent teacher and this is a incredible course. I love topics like Computer Vision, Deep Learning, and this is an excellent step to make great things about that.

автор: Jurassic

Sep 06, 2019

good

автор: Farhan M

Sep 05, 2019

Hands-on and straight to the point.

автор: rudraps

Sep 05, 2019

Thank you.

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: Nnodu K

Sep 10, 2019

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

автор: NWACHUKWU A C

Sep 10, 2019

Great course.

автор: Apurv J

Sep 13, 2019

Short sweet and perfect videos to be understood very easily.

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: Peter B

Sep 14, 2019

An amazing course that was written by masters of the field

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: 李英斌

Sep 15, 2019

nice course!

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: Richard S

Sep 15, 2019

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

автор: Huajiang L

Sep 17, 2019

Very easy to learn. Very practical and useful!

автор: Alaso L K

Jun 14, 2019

Hands on practice and I love the videos after each lab that explains all we encountered during the lab. I highly recommend this course to anyone interested in CNNs

автор: Anil K S

Jun 12, 2019

This was the actual dealing with the dataset saved at local memory location rather than predefine dataset where the dealing with label and directory were ignored which learner actually face problems while learning and handling with the datasets stored at local drive. well this course actually helped for my major year project .

автор: neko@live.it

May 27, 2019

FUN AND EASY

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: David A

Sep 23, 2019

Very clear and concise introduction!

автор: Joe J

Sep 23, 2019

excellent

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: 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!