farid
(Farid Hassainia)
May 22, 2020, 2:13pm
1
Yesterday, I published this blog post:
Time Series Classification Using Deep Learning - Part 1 .
Thank you @jeremy for retweeting it and pointing out the broken link. That was also my first tweet
I would like to thank all the fastai members who liked the tweet, and also retweeted it.
Thank you @jcatanza and @lgvaz for being my 2 first followers! before even starting tweeting.
As a new Twitter user, I would like to kindly ask you to follow me @ai_fast_track . I will post there the sequel of this blog post.
12 Likes
muellerzr
(Zachary Mueller)
May 22, 2020, 2:16pm
2
Immediately followed (late to the party). Congrats!
1 Like
Tendo
(Tochukwu Ezike)
May 22, 2020, 2:19pm
3
I’m joining the party too. Great article!
1 Like
farid
(Farid Hassainia)
May 22, 2020, 2:25pm
4
Thank you Zach. You are not at all late to the party (it’s still on for me ). You are the Speedy of fastai forum
1 Like
farid
(Farid Hassainia)
May 22, 2020, 2:32pm
5
1 Like
stefan-ai
(Stefan Josef)
May 22, 2020, 5:57pm
6
Great blog post! Looking forward to part 2!
1 Like
farid
(Farid Hassainia)
May 22, 2020, 7:30pm
7
Thank you @stefan-ai . Hopefully soon!
farid
(Farid Hassainia)
May 23, 2020, 10:16pm
9
Thank you @vrodriguezf for retweeting and following!
dcsw
(David Wong)
May 25, 2020, 11:01am
10
Thank you this is amazing!
1 Like
farid
(Farid Hassainia)
May 25, 2020, 7:21pm
11
Thank you @dcsw , and welcome to the fastai community!
An awesome and quality blog post. I am very excited and pumped for the coming posts in the series. Something which are gonna really really helpful. Could you please tell, are there any regression datasets under URLs_TS
? Does the same ts_learner
with InceptionTime architecture handles the regression task and how can it be done with an example(4 lines of code)?
Thank you & Stay safe.
1 Like
farid
(Farid Hassainia)
June 1, 2020, 9:18pm
13
Thank you for your very positive comment! I’m glad that you find it interesting.
URLs_TS
only includes classification datasets. All the URLs_TS
datasets come from the UEA & UCR Time Series Classification Repository .
I didn’t find yet any regression datasets stored as .arff
files (the format supported by timeseries
package for now).
Not yet but I’m planning to add that feature hopefully soon.
1 Like
Thank you so much for your clarifications. Will be waiting for the next post which is what I am very eager for ( knowledge and understanding for a library building procedure)…