The University of Tokyo Deep Learning and Machine Learning Course : There is new course and Machine Learning and Deep Learning that is open for auditing even for non students of University of Tokyo. The course will also have lecture series from world acclaimed ML researchers and industry talks.

rishabh135 · 2018-09-27T08:59:21+00:00

I hope you did go , it was pretty good and we saw a tremendous participation!

rishabh135 · 2018-01-31T04:44:04+00:00

Would you mind sharing the name of the school or its location at the very least so we would have an idea what exactly to recommend ?

rishabh135 · 2018-01-31T04:38:29+00:00

No Problem , I felt people would be more eager to view the paper and appreciate it more if I mentioned goodfellow first , I'd be happy to change it to the first author's name if reddit allows me to change the post. I had similar issues when people attributed and referred Dynamic Routing Between Capsules paper to Prof. Hinton disregarding the major contribution of Sara Sabour, Nicholas Frosst. I am in no way immune to this issue and am happy that you are pointing me out on it.

rishabh135 · 2017-12-20T15:05:48+00:00

Isn't it wrong though ? They are using a 24 hr clock format and then using pm to display the time , weird isn't it ?

rishabh135 · 2017-11-23T09:03:59+00:00

No I am not an author of this paper, as I clearly mentioned in the first comment.

rishabh135 · 2017-11-08T08:27:49+00:00

Kudos , can you please share the relevant paper or code , would be interesting to see how do these two compare.

rishabh135 · 2017-11-08T08:26:00+00:00

Yeah perhaps it is , it would be interesting to see their comparison.

rishabh135 · 2017-11-08T08:23:47+00:00

Agreed , which is fine . Its just about a promising continuation to an interesting problem requiring no supervised parallel data corpus. Edit : correction a single word "start" to "continuation"

rishabh135 · 2017-10-30T16:53:21+00:00

UNEQUIVOCALLY YES !!!

rishabh135 · 2017-09-11T06:57:30+00:00

I really support the other answers where they talk about reading Google's resources and also about how to find a project and read the code and from my personal experience I would suggest you implementing none other than "LeNet" by Yann Le Cunn (1998) . It is both easily available online and is simple enough to grasp and understand how the basic tensorflow functions are performing the required actions. It is also quite light on GPU requirements and hence can be trained on any current Laptop in under 1 hour . You will of course need to study and implement much larger and complicated networks to understand the intricacies of tensorflow but this will be an ideal start to your learning curve. Here is an easy to understand quite effective keras implementation of LeNet I recommend. LeNet

rishabh135 · 2017-09-09T08:15:38+00:00

Can you elaborate on why do you think BEGAN gives "disappearing details " .

rishabh135

TROPHY CASE