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Deeplearning.ai: Announcing New Deep Learning Courses on Coursera
- binarymax 9y agoSo awesome. I just completed Andrew's excellent 2011 Machine Learning coursera course, and was looking where to go next. I am trying to go through the courses on fast.ai, but I don't enjoy them nearly as much compared to Andrew's teaching style and structure. Will be signing up for this!
- sumitgt 9y agoI like this pricing model compared to udacity's new nanodegrees. This works better for people who want to rush through the course as quickly as possible. It essentially encourages faster completion. You pay $49 per month and finish at your own pace. On Udacity you pay a fixed price of approximately $800 per semester with a trial period of 7 days. Since you are paying for the entire course upfront, you might realize after a few weeks that you don't like it. On Coursera, you can stop anytime and you've only paid $49 x number of months you tried.
- jonas21 9y agoWorks out well for them too. I'd imagine most people are overly optimistic about how quickly they'll be able to finish.
- rahimnathwani 9y agoInteresting, as it used to be the other way around. Udacity charged ~$200/month for a nanodegree (with a 2 drink minimum) and Coursera charged a flat fee (around 600 if I recall correctly) with no deadline for completion.
- lucasverra 9y agoUdacity has a 50% tuition back policy if you finish < 12 month (very reasonable). I've finished a ND, and asked for my money back (still waiting tough, its a 8 wks standard period )
- zacharyz 9y agoThat unfortunately doesn't apply to all their NDs. Some of their newer ones (like the self driving car ND) doesn't offer any sort of tuition back.
- wodenokoto 9y agoIs Andrew Ng still with Baidu? Thought it was curious that it uses tensorflow.
- nyxtom 9y agoThis is really exciting to hear. Andrew is absolutely a fantastic teacher!
- bitL 9y agoWonderful! Thank you Andrew! Now alongside Udacity, another set of classes with certificates - does anyone know if they hold any value to prospective employers? Last I've heard was that a recent PhD in ML was a must.
- sumitgt 9y ago> Last I've heard was that a recent PhD in ML was a must. Nope, personally know a lot of people who work in Machine Learning roles at the big 5 companies without a PhD. Although specifically they did not have any of these courses on their resume. They did however have various ML projects which these courses can lead to.
- marrone12 9y agoI manage a data science team and the courses aren't valuable in and of themselves. I need to see that you've actually used the principles from them on interesting projects that we could utilize for our company -- projects either in your own work or pet projects that you've done completely yourself.
- eanzenberg 9y ago> does anyone know if they hold any value to prospective employers? Sure they do. It's not a free pass but it is very very very helpful to have a strong foundation in classic ML and statistics. > Last I've heard was that a recent PhD in ML was a must. Not really unless you are looking to jump into a pure research lab. Generally you need publications in the field.
- edanm 9y ago"Sure they do. It's not a free pass but it is very very very helpful to have a strong foundation in classic ML and statistics." I think the poster was asking specifically about the credentials of the course, not taking the course itself. And I'd argue that it's probably not that interesting to most prospective employers, since they'll care more about things you've actually accomplished (example projects, etc).
- bradleyjg 9y agoI'm glad these courses use python. I had a lot of trouble with Ng's machine learning course because I was trying to learn MATLAB language, remember long disused linear algebra, and trying understand the substance of the lessons all at the same time.
- sumitgt 9y agoYes, it really distracted away from the core lessons of that course.
- binarymax 9y agoI disagree. I felt the language was very simple and easy to learn, and after the first exercise it was natural to use. Considering the course was very mathematical, the language was a perfect choice.
- mamon 9y agoMy impression was that the language was "too natural". I mean Octave notation is so similar to mathematical notation that many exercises could be solved by just typing a formula from lecture almost 1:1. Plus, learning Python and things like NumPy or Pandas would be beneficial on its own rights.
- tnecniv 9y agoI mean, there's not much difference between NumPy and MATLAB/Octave.
- liuhenry 9y agoFor example, check out https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-u... Also, IMO the implementation is not the core focus of the course. The key ideas are in the equations, and hopefully implementing them helps you understand the intuition behind those equations.
- dhawalhs 9y agoThe courses are not yet live. Meanwhile, here is a list of 23 Deep Learning online courses aggregated (aggregated by my company): https://www.class-central.com/report/deep-learning-online-courses/ https://www.class-central.com/report/deep-learning-online-co... Also, link to Andrew Ng's original ML class: https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning
- tannranger 9y agoAnybody have a clue when these will actually be up? I really enjoyed his ML course.
- flor1s 9y agoFor the first three courses the first week is already accessible.
- mleonard 9y agoWill the content for the courses be released all at once? I'd like to complete the 5 courses in approx 1 month.
- flor1s 9y agoSeems like the first three courses are opening on August 15th (but you can already preview the first week), the other two do not seem to have a start date available yet.
- BrianMingus 9y agoLatently (SUS17) also provides a more self-directed path to learning deep learning focused exclusively on implementing research papers and conducting original research: https://github.com/Latently/DeepLearningCertificate https://github.com/Latently/DeepLearningCertificate
- pault 9y agoThe wording in the linked GitHub page makes it sound like you are looking for people that are already ML practitioners. Are you able to support developers with no ML background that are interested in making a career change?
- BrianMingus 9y agoDefinitely, we help folks pick papers that are appropriate for their skill level.
- flor1s 9y agoSounds interesting. What are the costs for the participants?
- BrianMingus 9y agoThere are no costs.
- z0k 9y agoThis seems very interesting, but I'm getting a 404 at this link.
- nnd 9y agoSo it appears, that you can still take this course for free, and you only get a "digital certificate" of dubious value if you purchase the course. Am I missing something here?
- delta1 9y agoIs it not $49 / mo ? http://i.imgur.com/UNOvVMU.png http://i.imgur.com/UNOvVMU.png
- NoPiece 9y agoYou can audit the classes for free, which lets you watch the videos, and take the quizzes but not submit them (which is annoying).
- nnd 9y agoThis one appears to be (but it's also not available for enrollment just yet). Then, for example, his ML course (https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning) is available for purchase: http://collabshot.com/show/1hWhMQ http://collabshot.com/show/1hWhMQ
- mamon 9y agoHow about this 7-day "trial"? all those courses seem pretty short (estimated 5 courses x 3 weeks x 4 hours = 60 hours), so if you do them full time and manage to finish within that 7-day trial would you receive certificate for free?
- js09 9y agoAfter having taken Udacity's ND, the only way I would consider taking this course is if they go in-depth with the theory so that I can clear interviews and work on projects from scratch. There's just too many resources for DL now. It's getting ridiculous. Had Udacity gone in better details with their ND I would glady have paid double for them. Coursera does not having proper support systems like good quality forums/any mentorship/project reviews. Although, been a while since I took a Coursera specialization, would rate Udacity higher on that front even though their ND was too basic (I can't even talk about what I did in a project clearly because of so much lack of stuff). Let's see how this specialization holds up.
- tmaly 9y agoWhat would be a good prerequisite for these courses?
- SloopJon 9y agoThis is described as a beginner specialization, so you're probably fine if you're comfortable with Python and have a passing familiarity with linear algebra. The older machine learning class alone is eleven weeks, compared to nine weeks for the first three classes of this specialization. You might consider going through the first four weeks of that class, which lays the foundation for neural networks by introducing linear and logistic regression.
- litzer 9y agoThe FAQ answers this: " What background knowledge is necessary? Programming (expected): intermediate Python programming skills: work effectively with loops, control flows, data structures, files, functions and OO programming. Prior experience with PyData libraries is also recommended (e.g. Numpy, Pandas, Matplotlib)Mathematics (recommended): Matrix vector operations and notation. Machine Learning (recommended): understand how to frame a machine learning problem including how data is represented, how models are evaluated on the task and against each other, and how to optimize model performance for the best evaluation."
- nnd 9y agoFrom the FAQ on the course's page: "Programming (expected): intermediate Python programming skills: work effectively with loops, control flows, data structures, files, functions and OO programming. Prior experience with PyData libraries is also recommended (e.g. Numpy, Pandas, Matplotlib)Mathematics (recommended): Matrix vector operations and notation. Machine Learning (recommended): understand how to frame a machine learning problem including how data is represented, how models are evaluated on the task and against each other, and how to optimize model performance for the best evaluation."
- alistproducer2 9y agoI took his course up until the back propagation lesson and then lost interest. Credit to him as a teacher though because the basic of ML are still with me. I just didn't have any interest in going very deep with it.
- m00x 9y agoIf you take a Coursera course, be prepared for it being exactly like a university class. About 45 minute of monologue per section, the odd quiz, then 2-3 exams. From the 4 Coursera courses I've taken, I've gotten some good info, but I learned nothing practical. Udacity on the other hand, has ~5-10 min videos, frequent quizzes and practical projects.
- un-devmox 9y agoCan you recommend a ML related course from Udacity?
- 2_listerine_pls 9y agoThere are only 2 ML courses on Udacity. One is by Georgia tech and the other is by Sebastian Tron Legacy.
- rfrey 9y agoWinner: Autocorrect Prize, August 2017
- postnihilism 9y agoI've enjoyed the Deep Learning Nanodegree [0]. It is a 6 month survey course of deep learning techniques and applications. Some of the lessons and instructors are better than others but overall the content and projects have been good. This course is not to be confused with the one-off deep learning course they offer [1], which I have not taken but have heard is not as good. [0]https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101 https://www.udacity.com/course/deep-learning-nanodegree-foun...) [1] https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730
- trevyn 9y agoI signed up for this, but didn't realize that they pull access to course material if you don't complete on their timeline. I asked for a refund because of this and they refused.
- jonbarker 9y agoTransition to python is a great improvement! Took his previous course but the MATLAB part of it was no fun and virtually guaranteed that my work would be hard to implement in any real job setting. His advocacy of Octave probably predated quite a few of the python libraries that have since arrived.
- seycombi 9y agoFor 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 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/neural-networks-deep-learning https://www.coursera.org/learn/deep-neural-network https://www.coursera.org/learn/deep-neural-network https://www.coursera.org/learn/machine-learning-projects https://www.coursera.org/learn/machine-learning-projects https://www.coursera.org/learn/convolutional-neural-networks https://www.coursera.org/learn/convolutional-neural-networks https://www.coursera.org/learn/nlp-sequence-models 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 https://www.coursera.org/learn/machine-learning
- ryanschneider 9y agoBTW, 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 9y agoThank you for pointing this out! Was looking for the way to just audit it and could not figure it out.
- forgotmysn 9y agofast.ai also has a quality ML course
- supermdguy 9y agoI 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.
- Dowwie 9y agoI hope that AI scientists will one day solve the problems with message forums. Message forums aren't designed to engage this many people. A popular MOOC gets tens of thousands of daily posts from students. Maybe Andrew will make a practical class project out of trying to improve mass-collaboration using his MOOC as the test subject?
- altonzheng 9y agoAny idea on how this compares to the deep learning course here: http://course.fast.ai/ http://course.fast.ai/? Very interested in taking a course, but there are so many offerings available. I have high level ML understanding from classes I took in college, but wanted to dive deeper into it.
- plusepsilon 9y agoYa it seems like just another deep learning course. I can vouch for fast.ai though. They're the best if you're just starting.
- mino 9y ago+1 fast.ai is probably the best MOOC I've ever followed. As its name says, it is "for coders" and 100% applied. It is perfect for getting started, quickly. Please read this blog post, in particular regarding the comment on "Hacker News contributors regularly give such awful advice on machine learning". http://www.fast.ai/2017/03/17/not-commoditized-no-phd/ http://www.fast.ai/2017/03/17/not-commoditized-no-phd/ and: http://www.fast.ai/2017/03/23/focus-on-coding/ http://www.fast.ai/2017/03/23/focus-on-coding/
- laurentmih 9y agoThe fast.ai course does what it says on the tin: it's a practical approach to deep learning. I know I'm being lame by copying their tagline, but it really does just that: it has a no-frills approach to _applying_ deep learning. What you'll see: * How to build and train a convnet * What transfer learning entails * How to build and train an LSTM * How to build and train a 'vanilla' neural net What you won't be covering: * The difference between ADAM and EVE optimizers * The mathematics behind backpropagation * The mathematical 'theory' behind 'exploding gradients' In brief: fast.ai is all about having coders get started with deep learning ASAP. If you have theoretical questions, the answer will usually be a one-liner, along with "but that's out of scope for this class". I loved it to pieces, I think it's fantastic and a must-do if you've got any Python affinity. You would not believe what you, a run-off-the-mill programmer, have as a power when it comes to getting ConvNets/Nnets/LSTMs do. You can really build powerful, (almost) Google service level stuff. But it's not very detailed on theory.
- stablemap 9y agoMany weeks end with an interview that might be interesting independent of the course -- the first is a long one with Hinton. https://www.coursera.org/learn/neural-networks-deep-learning/lecture/dcm5r/geoffrey-hinton-interview https://www.coursera.org/learn/neural-networks-deep-learning...
- carlosgg 9y agoGeorgia Tech is also starting a few MOOCs on edX.org, starting 8/21/17, if anyone is interested. https://www.edx.org/course/machine-learning-gtx-cs7641x https://www.edx.org/course/machine-learning-gtx-cs7641x https://www.edx.org/course/statistical-modeling-regression-analysis-gtx-isye6414x# https://www.edx.org/course/statistical-modeling-regression-a...! https://www.edx.org/course/big-data-analytics-healthcare-gtx-cse6250x# https://www.edx.org/course/big-data-analytics-healthcare-gtx...! https://www.edx.org/course/database-systems-concepts-design-gtx-cs6400x# https://www.edx.org/course/database-systems-concepts-design-...!
- SoMisanthrope 9y agoFeels like marketing, not really a news story. Anyone else feel the same?
- SoMisanthrope 9y agoI was only making an honest observation. It's amazing that, whenever one makes an observation that could be construed as detracting, your observation gets moderated downward. That's sad. Anyway, audited the first class and think it's a wonderful product. However, my observation about this "seeming like product marketing" stands. Mod me down again, I suppose.
- smithsmith 9y agoExactly what is being marketed ?
- SoMisanthrope 9y agoCoursera
- smithsmith 9y agoThis specialization contains 5 courses. Does this mean one has to pay 245 dollars(49 * 5) + 49 dollars for the first month.