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Convolutional Neural Networks

Coursera · deeplearning · 3 HN points · 4 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Convolutional Neural Networks" from deeplearning.
Course Description

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images.

You will:

- Understand how to build a convolutional neural network, including recent variations such as residual networks.

- Know how to apply convolutional networks to visual detection and recognition tasks.

- Know to use neural style transfer to generate art.

- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.

This is the fourth course of the Deep Learning Specialization.

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Provider Info
This course is offered by deeplearning on the Coursera platform.
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See also: all Reddit discussions that mention this course at reddsera.com.

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
If I recall correctly, Andrew Ng covers this in his CNN course[0] and implementing it is one of the exercises.

[0] https://www.coursera.org/learn/convolutional-neural-networks

Nov 01, 2017 · 3 points, 0 comments · submitted by stablemap
There are several courses in this specialization. Only 3 are currently available for enrollment right now.

You can get the course material for free, but won't be able to get assignments graded.

Below are links for all of the courses.

Course 1: https://www.coursera.org/learn/neural-networks-deep-learning

Course 2: https://www.coursera.org/learn/deep-neural-network

Course 3: https://www.coursera.org/learn/machine-learning-projects

Course 4: https://www.coursera.org/learn/convolutional-neural-networks

Course 5: https://www.coursera.org/learn/nlp-sequence-models

To get the course material, you go to each course link and click on "Enroll". Then look for the "Audit" link at the bottom left of the modal dialog that comes up.

For those who are unfamiliar with coursera or interested in just the videos (and NO certificate) you can enroll in "AUDIT" mode:

AUDIT MODE: http://image.ibb.co/iwm0xF/ng.png

The deep-learning course consist of 5 subcourses:

https://www.coursera.org/learn/neural-networks-deep-learning

https://www.coursera.org/learn/deep-neural-network

https://www.coursera.org/learn/machine-learning-projects

https://www.coursera.org/learn/convolutional-neural-networks

https://www.coursera.org/learn/nlp-sequence-models

The deep-learning course is a different course than the prerequisite machine-learning course:

https://www.coursera.org/learn/machine-learning

forgotmysn
fast.ai also has a quality ML course
supermdguy
I love fast.ai's course, but I also appreciate having a solid and thorough free machine learning course. While fast.ai is good for getting onto the cutting edge of deep learning quickly, it doesn't go through a lot of material that most people in the machine learning industry are assumes to know.
smithsmith
Can the certificate be received by completing the course in audit mode and then paying at the end of the course.
flor1s
Thanks for the links! It seems like you can already browse the lecture videos of the first three courses!
ryanschneider
BTW, if you want to audit, you need to search for each course individually (or click seycombi's links above) and click the Enroll button there, there's no Audit option if you click Enroll on the full Specialization.
jjuel
Thank you for pointing this out! Was looking for the way to just audit it and could not figure it out.
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