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Deep Learning

Coursera · deeplearning · 16 HN points · 16 HN citations

ai. If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you ...

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Hacker News Comments about Deep Learning

All the comments and stories posted to Hacker News that reference this course.
Sep 12, 2018 iamrobschiavone on Interview with Andrew Ng [audio]
Andrew Ng shares his impressive knowledge on Coursera (which he is a co-founder of). For those interested:

- https://www.coursera.org/learn/machine-learning (Machine Learning Course)

- https://www.coursera.org/specializations/deep-learning (Deep Learning Specialization)

Aug 13, 2018 FreeKill on Organized Resources for Deep Learning Researchers and Developers
I thought both of these two courses on coursera were quite good:

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

https://www.coursera.org/specializations/deep-learning

First one is a bit older school, but takes you through all the fundamentals and actually explains a lot of the math involved. It also gets you thinking a lot more about how to solve problems from a Linear Algebra standpoint and the types of problems machine learning is good for tackling.

Second one is a much more modern day set of courses specifically focused on Deep Learning techniques and problem solving.

I thought both were great. First one is free as well...

Mar 27, 2018 mewwts on Ask HN: How to getting started in AI/ML?
Hey!

I'd suggest starting with this excellent course:

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

And then dive into competitions on kaggle.com.

Then following up with the deeplearning.ai specialization here: https://www.coursera.org/specializations/deep-learning

and the http://www.fast.ai/ courses.

You'll be up to speed in no time :)

Mar 23, 2018 rwieruch on Ask HN: How to self-learn ML?
Just recently I have written a "Machine Learning for Web Developers in JavaScript" blog post [0]. If you or someone else is a web developer, it might be interesting. It outlines my approach of learning it and gives a couple of great resources for JavaScript enthusiasts. Otherwise, I will just post a couple of the materials I used for myself to learn about ML below.

- [0] https://www.robinwieruch.de/machine-learning-javascript-web-... .

Podcast:

- http://ocdevel.com/podcasts/machine-learning

Courses:

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

- https://eu.udacity.com/course/machine-learning-engineer-nano... .

- https://www.coursera.org/specializations/deep-learning

- http://course.fast.ai/

Books:

- https://www.amazon.com/gp/product/B014X01SS0/

- http://www.deeplearningbook.org/

- http://neuralnetworksanddeeplearning.com/

- https://www.safaribooksonline.com/library/view/deep-learning... .

Math:

- http://www.fast.ai/2017/07/17/num-lin-alg/

- https://www.khanacademy.org/math/linear-algebra

- https://www.khanacademy.org/math/statistics-probability

- https://www.khanacademy.org/math/calculus-home

JavaScript ML:

- https://bri.im/

- https://github.com/javascript-machine-learning

Feb 08, 2018 warabe on How to learn Deep Learning in 6 months
I totally agree with you.

I started Deep Learning Specialization in Coursera: https://www.coursera.org/specializations/deep-learning last month and almost finished it, but I realized this field requires a lot of expertise, not something you can learn in a month. What I learned in the courses was just a basic topics in Deep Learning and how to use Numpy, TensorFlow and Keras.

I was considering diving into a Data Science job and started that specialization as a starting point, but I just realized how foolish I am. Chances are I'll find a job, but it definitely takes another 10 years/10,000 hours to master this discipline.

Anyway, the specialization is wonderful and Dr.Ng explains complicated Deep learning topics in a way that is understandable for everyone. So if just learning is what you want, you should take it, but I don't think you are prepared for a real world Data Science job after finishing it.

Feb 06, 2018 tzhenghao on How to learn Machine Learning
Here's another resource that I've been following the past few weeks. Andrew Ng recently launched a Deep Learning Specialization (Understanding of an into to ML course is a prerequisite) under deeplearning.ai [1], and I really enjoy the content so far.

[1] - https://www.coursera.org/specializations/deep-learning

Feb 01, 2018 pure-awesome on Neural network AI is simple. So Stop pretending you are a genius
The basic mechanisms for building a neural network from scratch are almost disappointingly simple (provided you know a little bit of calculus and linear algebra). And setting up a basic network in an existing architecture is pretty trivial.

I'm currently busy with the neural networks and deep learning specialization on Coursera.

https://www.coursera.org/specializations/deep-learning

The trick, as far as I can tell, lies in with the various techniques for setting up your data, tuning your hyperparameters, and picking the right architecture for the job. At least, this seems to be the message of the course. It seems to still be a bit of an ad-hoc field. There are a number of techniques and things to try, without there necessarily being more than a shallow theoretical understanding from the experts as to why they actually work.

Then, of course, there are the experts and researchers who come up with entirely new architectures. Now that actually takes skill.

Jan 17, 2018 rwieruch on Ask HN: How to Seriously Start with Machine Learning and AI
Just recently I have written a "Machine Learning for Web Developers in JavaScript" blog post [0]. If you or someone else is a web developer, it might be interesting. It outlines my approach of learning it and gives a couple of great resources for JavaScript enthusiasts. Otherwise, I will just post a couple of the materials I used for myself to learn about ML below.

- [0] https://www.robinwieruch.de/machine-learning-javascript-web-...

Podcast:

- http://ocdevel.com/podcasts/machine-learning

Courses:

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

- https://eu.udacity.com/course/machine-learning-engineer-nano...

- https://www.coursera.org/specializations/deep-learning

- http://course.fast.ai/

Books:

- https://www.amazon.com/gp/product/B014X01SS0/

- http://www.deeplearningbook.org/

- http://neuralnetworksanddeeplearning.com/

- https://www.safaribooksonline.com/library/view/deep-learning...

Math:

- http://www.fast.ai/2017/07/17/num-lin-alg/

- https://www.khanacademy.org/math/linear-algebra

- https://www.khanacademy.org/math/statistics-probability

- https://www.khanacademy.org/math/calculus-home

JavaScript ML:

- https://bri.im/

- https://github.com/javascript-machine-learning

Jan 14, 2018 rwieruch on Ask HN: Best introductory video courses on ML and Deep Learning?
Just recently I have written a "Machine Learning for Web Developers in JavaScript" blog post [0]. If you are a web developer, it might be interesting for you. It outlines my approach of learning it and gives a couple of great resources for JavaScript enthusiasts. Otherwise, I will just post a couple of the materials I used below. It's not only video courses, because I believe it's always useful to stimulate all senses.

- [0] https://www.robinwieruch.de/machine-learning-javascript-web-...

Podcast:

- http://ocdevel.com/podcasts/machine-learning

Courses:

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

- https://de.udacity.com/course/machine-learning-engineer-nano...

- https://www.coursera.org/specializations/deep-learning

- http://course.fast.ai/

Books:

- https://www.amazon.com/gp/product/B014X01SS0/

- http://www.deeplearningbook.org/

- http://neuralnetworksanddeeplearning.com/

- https://www.safaribooksonline.com/library/view/deep-learning...

Math:

- http://www.fast.ai/2017/07/17/num-lin-alg/

- https://www.khanacademy.org/math/linear-algebra

- https://www.khanacademy.org/math/statistics-probability

- https://www.khanacademy.org/math/calculus-home

JavaScript ML:

- https://bri.im/

- https://github.com/javascript-machine-learning

Jan 13, 2018 oscgonfer on Ask HN: Best introductory video courses on ML and Deep Learning?
I took the coursera specialisation one week ago. It takes you from the very basics to some more complex modules like keras or tensorflow. If you are into it and have time, the whole 4 courses can be done in the free week: https://www.coursera.org/specializations/deep-learning
Nov 13, 2017 gncb on Ask HN: Best way to get started with AI?
I was at the same point as you until I discovered the new Andrew Ng course on deep learning [1]

It's a good structured way to learn the core of ML while learning about Neural Networks and without having to become and linear algebra expert which for most people including like me was a deal breaker with other courses. The timing is great too as ML now is so much different than it was 2-3 years ago.

[1] https://www.coursera.org/specializations/deep-learning

Nov 09, 2017 newyearnewyou on Ask HN: What are the best online resources to start learning AI (examples)?
I've found that there is no lack of resources (there is almost an excess of resources) but what I am trying to find is which one is the best. I've listed some examples below. If you have any recommendations or advice, please share:

Intro to Artificial Intelligence [Free Intro] https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

Deep Learning Specialization [Andrew Ng] https://www.coursera.org/specializations/deep-learning

Artificial Intelligence (AI) [Micromasters] https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-4

Artificial Intelligence Nanodegree [IBM] https://www.udacity.com/course/artificial-intelligence-nanodegree--nd889

Thanks!

Oct 06, 2017 pesenti on Lessons learned from building a Hello World Neural Network
https://www.coursera.org/specializations/deep-learning by Andrew Ng is a great resource for anybody who wants to learn neural networks. It pretty much steps you through all the issues raised here and much more.
Aug 28, 2017 pramalin on Ask HN: What maths are critical to pursuing ML/AI?
You can also dive in first and then cover the math behind ML, by taking Andrew Ng's courses. https://www.coursera.org/learn/machine-learning https://www.coursera.org/specializations/deep-learning
Aug 13, 2017 rfreytag submitted Deep Learning Specialization (2 points, 0 comments)
Aug 13, 2017 redsymbol on New deep learning course by Andrew Ng
At first I could not find a way to sign up without paying - when I click enroll, I didn't see the audit link that Sjenk and others mention.

The trick is that the audit link only appears when you sign up for the individual course, not the entire sequence. So if you go to this link:

https://www.coursera.org/specializations/deep-learning

... and click "Enroll", you can only proceed by supplying payment info. However, if you scroll down to that page to the box titled "Course 1", at the bottom of that box is a link "You can choose to take this course only. Learn More".

Click on THAT to go to the individual course page. Then, click Enroll, and in the first box that pops up, you'll see the link "Or audit this course" in the lower left.

This allowed me to sign up for all five without supplying payment info.

Aug 13, 2017 nilsocket on New deep learning course by Andrew Ng
Here is the link to the coursera web-page: https://www.coursera.org/specializations/deep-learning

In-short this specialization covers:

1.Neural Networks

2.Hyperparameter tuning, Regularization and Optimization

3.Structuring Machine Learning Projects

4.Convolutional Neural Networks

5.Sequence Models

Aug 11, 2017 e19293001 submitted Deep Learning Specialization with Andrew Ng (2 points, 0 comments)
Aug 09, 2017 rushkirubi submitted Andrew Ng Is Back with a Deep Learning Course (9 points, 0 comments)
Aug 08, 2017 krosaen submitted Coursera Deep Learning Specialization (Andrew Ng) (3 points, 0 comments)
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