jeremy
(Jeremy Howard)
September 28, 2017, 9:14pm
1
Use this category for discussions of Practical Deep Learning for Coders (2018), Part 1. Be sure to check the FAQ before posting, and read about how to ask for help .
Here are threads to help you with specific issues:
Finally, here’s the introduction thread where you can get to know the other students and introduce yourself.
65 Likes
srmsoumya
(Soumya)
October 20, 2017, 7:11am
2
Simple Stats I could infer from the excel sheet that you provided
We have 325 remote students registered so far.
Top 10 time-zones:
UTC+5:30 85
UTC-5 48
UTC+1 28
UTC+8 25
UTC-8 21
UTC+3 17
UTC+2 14
UTC-4 13
UTC-7 11
UTC-3 8
Top 10 Locations:
Bangalore,India 26
India 13
Chennai,India 6
London,UK 5
Australia/Perth 5
Mumbai,India 5
Delhi,India 4
Raleigh,NC 4
Singapore 4
Melbourne,Australia 4
Looks like a lot of students from India and specifically from Bangalore!
PS: I have done very basic data-wrangling on this. I too am from Bangalore, India
14 Likes
olivier
(Olivier Ma)
October 20, 2017, 3:07pm
3
Great chance for you guys to have some local meetups! I have to go hundreds of miles to find some one
init_27
(Sanyam Bhutani)
October 20, 2017, 4:24pm
4
That really looks like an opportunity to have some meet ups in Bangalore at some point of time.
1 Like
esgarg
(Sudhanshu Garg)
October 20, 2017, 7:13pm
5
init_27
(Sanyam Bhutani)
October 21, 2017, 7:31am
6
Imo a WhatsApp group would be a better idea, I don’t think a better way to discuss related code than the forums, why create another slack ‘mini-community’? We could always have our little thread on here.
TheLariat
(vikram iyer)
October 21, 2017, 4:13pm
7
Whatsapp and Slack will be too noisy (hard to maintain and regain info, though easy for short notices), some other way we can collaborate on projects and take this further?
1 Like
vikram
(Vikram Kalabi)
October 21, 2017, 4:35pm
8
Google groups is a viable option
jeremy
(Jeremy Howard)
October 22, 2017, 2:46am
9
Feel free to create a “Bangalore” thread here on this category, if that’s useful
3 Likes
ecdrid
(ecdrid)
October 23, 2017, 5:35pm
10
Is there any curated list of the datasets Jeremy will be using in this course?
I will download them beforehand…
Thanks!!!
jeremy
(Jeremy Howard)
October 23, 2017, 6:17pm
11
Yes. See /datasets/ in your crestle.com instance.
2 Likes
@jeremy ,today i started working with paperspace ,as soon as i gave my card details ,1$ was debited from my credit card .so i need to enquire that will they credit back that 1 $ just like AWS and google cloud service do.i know it just 1$ but currently i’m unemployed so every penny matter for me.and though i have given the card details but still i haven’t received mail from paperspace regarding activation of P5000 machine on my paperspace account.could you please provide give me some insights about my query.
thanks in advance
They usually debit 1$ to ensure the validity of the card, not overlimit, etc. I would assume it would be put back within a few days.
1 Like
thank you for your kind reply
mmr
November 7, 2017, 2:29am
15
@jeremy Just a general question - is it possible to cover reinforcement learning this time.
Thanks
angryziber
(Mudit Verma)
November 7, 2017, 2:51pm
17
can you provide some resources on it ?
satya
(Satya Prateek)
November 7, 2017, 4:26pm
18
There are some good RL courses freely available. David Silver’s RL course is the classic one (https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PL7-jPKtc4r78-wCZcQn5IqyuWhBZ8fOxT )
There’s a course on deep reinforcement learning (http://rll.berkeley.edu/deeprlcourse/ ) that looks great but I haven’t gone through it yet.
Finally there’s a nice github project (https://github.com/dennybritz/reinforcement-learning ) that has implementations for a lot of the popular RL algs.
I remember reading a lot of good blog posts/tutorials but I can’t find them now. If I do I’ll add them in.
14 Likes
Nice sources, thanks @satya
mmr
November 20, 2017, 3:25am
20
Google GPU offering seems to be very slow compared to Amazon’s ec2 for the same price.