Вернуться к Convolutional Neural Networks in TensorFlow

4.7

Оценки: 2,001

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Рецензии: 282

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....

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.

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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автор: Himansh M

•Dec 10, 2019

This course is a great addition to the deep learning courses by Prof. Andrew Ng. I got to learn the fundamentals of deep learning from Andrew Ng's courses and learned to programme from here. It's a great course to learn Tensorflow and this course also helped me in my final year project. I'm really thankful to Coursera and deeplearning.ai for this course

автор: Alvaro M A N

•Dec 10, 2019

I love this, because the instructor make the difficult easy. After ending this course, I believe I would enrolled on the other specialization, to gain a better mathematical understanding of convolutional neural networks but I'm pretty happy to learn the practical stuff, this make possible a lot of projects!

автор: Michalis F

•Sep 25, 2019

simple, to the point and good notebooks! thanks

автор: Daniel H

•Sep 25, 2019

Great lessons to learn this technology step by step!

автор: Ed M

•Sep 23, 2019

Amazing practical examples and great use of TF 2.0

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: Andrii C

•Dec 11, 2019

I am grateful for this course

автор: Kavya B

•Dec 05, 2019

awesome

автор: Antti R

•Nov 02, 2019

Very informative, nice pace, easy to follow

автор: Deepak K

•Oct 14, 2019

The course is really amazing in the way it is taught. Perfect combination of practice and guidance.

автор: John G

•Nov 06, 2019

Interesting and useful. Thanks!

автор: Hasib Z

•Aug 17, 2019

The best!

автор: Soharab H S

•Dec 04, 2019

Precise, apt and to the pint.

автор: Chien D

•Aug 13, 2019

Really concise and intuitive course

автор: Gourav B

•Aug 06, 2019

good course

автор: Sanjay M

•Aug 13, 2019

Very well thought through course for Convolution Neural Networks using Tensorflow, covering some of advances topics like transfer learning, callback and review convolution layers. I already had understanding about CNN and these topics. This course shared scenarios when it is used.

автор: Nnodu K

•Sep 10, 2019

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

автор: Walid A

•Aug 16, 2019

The Course is too easy but it was fun and to the point

автор: zhenzhen w

•Nov 18, 2019

nice

автор: Luis A C A

•Sep 26, 2019

Muy buena introduccion a CNN, construyendo Multiclass Classifiers y Binary Classifiers

автор: Christopher G

•Aug 02, 2019

Excellent course. Enabled me to quickly get a grasp of this topic so I could go on to further learning and application. Perfectly designed course for 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: 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!

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