1. How much power would we need? I'd assume a Thinkpad X230 won't do. If we need a moderately powerful system, do you provide AWS (or equivalent)?
2. I watch Siraj's videos. Although they are fun and useful, they are very short and resemble a recipe in a cookbook (no offense intended). Is the course going to be the same as videos? Or is it going to be discussing all the necessary mathematics/statistics?
3. I couldn't find detailed information about the instructors' background. Are they able answer questions from the deep learning book or Sutton&Barto, if one were to read them alongside the course?
There seems to be a pretty wide spectrum of abstraction for DL tools, from writing by hand to Theano to Keras, for example. Will this course focus on any tool in particular?
In the same spirit: my name is Oliver and I lead the Udacity open source self-driving car project! AMA, or email me at [email protected]. I love all things AVs and deep learning!
Is it mandatory that I have to finish the course with 17 weeks or whatever the time duration is? Let's say if it takes me year to finish the course is this acceptable? I am interested to learn Deep learning and gain knowledge to concepts and new materials which Udacity is providing. I'm going to be most likely a passive learner not in a pursuit of degree.
Also will there is new materials added periodically or is this for a short duration of time frame?
What does "Live session" mean? I can't find anywhere on Udacity where this is described. It seems like it is a selling point of the program, but why it is a selling point, seems unclear on the on boarding page.
Hi Dhruv, thanks for being available to answer some questions. Do you think that someone from a design background with some JS experience is able to do this course?
hi! For some of us who have never taken a udacity course can you maybe give a bit of background information about what the weekly time expectations are? And also maybe a quick outline of the format for interaction? (or a link?)
This program looks promising. I have a few questions:
1)It is mentioned that it takes about 3-4 hours per week. Does this mean that the course covers not many concepts. Also are the projects like- this code is given. Add a few lines to make it run?
2)Can I submit files directly using my own laptop, or is using AWS compulsory?
3)Are these projects too - Make a network that generates songs and poems?
4)Can I get my resume reviewed by the experts like in the other nanodegrees?
It would be great if you could answer these questions. I am definitely thinking of joining this amazing course.
Can you provide details on what type of computing environment will be used in the course? Will it be based on something like Jupyter notebooks, GPUs on AWS, for example?
And will be there be some type of discussion forum, like the one in the other popular deep learning course fast.ai?
We'll mainly use Python with Jupyter notebooks and will gear the program towards GPUs on AWS. We'll focus on using Tensorflow as our main tool. There will be a discourse forum as well as a slack channel for students to interact and help eachother.
Insta-buy! Currently doing Hinton's Neural Networks course on Coursera. Audited it when it was first offered, but am doing the assignments, for real, this time.
What's good @dhruvp, I see that we have 6 months in total to complete the course. Does that start from the time of sign up or when we actually start the course? I ask because I'd like to take advantage of the great price but I know my workload won't permit me starting for at least a month.
How much of the course is ready to go? If a person could dedicate 20+ hours a week is the material all available or would you have to wait for the material to roll out? (i.e. is this binge-ready?)
If anybody ever tried to use that as a credential, they'd waste more words trying to explain what it is, and what it's worth, than if they just told you what they actually knew verbatim.
I have a nanodegree in microwaving hot pockets. Ask me to defend its intrinsic value.
[+] [-] dhruvp|9 years ago|reply
My name is Dhruv and I work on the AI programs here at Udacity. If you have any questions, feel free to ask them here or email me at [email protected]. I'll do my best to answer everything! You can see our curriculum in depth here: https://medium.com/udacity/deep-learning-nanodegree-foundati...
[+] [-] aalireza|9 years ago|reply
2. I watch Siraj's videos. Although they are fun and useful, they are very short and resemble a recipe in a cookbook (no offense intended). Is the course going to be the same as videos? Or is it going to be discussing all the necessary mathematics/statistics?
3. I couldn't find detailed information about the instructors' background. Are they able answer questions from the deep learning book or Sutton&Barto, if one were to read them alongside the course?
[+] [-] wcbeard10|9 years ago|reply
[+] [-] olivercameron|9 years ago|reply
[+] [-] akshayB|9 years ago|reply
Also will there is new materials added periodically or is this for a short duration of time frame?
[+] [-] unknown|9 years ago|reply
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[+] [-] wodenokoto|9 years ago|reply
[+] [-] pmcpinto|9 years ago|reply
[+] [-] qrco|9 years ago|reply
[+] [-] halite|9 years ago|reply
[+] [-] dnautics|9 years ago|reply
[+] [-] qrco|9 years ago|reply
[+] [-] goldenbeet|9 years ago|reply
[+] [-] h_coder|9 years ago|reply
1)It is mentioned that it takes about 3-4 hours per week. Does this mean that the course covers not many concepts. Also are the projects like- this code is given. Add a few lines to make it run?
2)Can I submit files directly using my own laptop, or is using AWS compulsory?
3)Are these projects too - Make a network that generates songs and poems?
4)Can I get my resume reviewed by the experts like in the other nanodegrees?
It would be great if you could answer these questions. I am definitely thinking of joining this amazing course.
[+] [-] pchal|9 years ago|reply
And will be there be some type of discussion forum, like the one in the other popular deep learning course fast.ai?
[+] [-] dhruvp|9 years ago|reply
We'll mainly use Python with Jupyter notebooks and will gear the program towards GPUs on AWS. We'll focus on using Tensorflow as our main tool. There will be a discourse forum as well as a slack channel for students to interact and help eachother.
[+] [-] JabavuAdams|9 years ago|reply
[+] [-] king_kerr|9 years ago|reply
[+] [-] dhruvp|9 years ago|reply
[+] [-] rws1st|9 years ago|reply
[+] [-] creditwheredue|9 years ago|reply
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[+] [-] truncheon|9 years ago|reply
If anybody ever tried to use that as a credential, they'd waste more words trying to explain what it is, and what it's worth, than if they just told you what they actually knew verbatim.
I have a nanodegree in microwaving hot pockets. Ask me to defend its intrinsic value.