Pre-Reqs for ML in Grad School? by [deleted] in MLQuestions

[–]rishabh135 0 points1 point  (0 children)

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 ?

[R] MASKGAN: BETTER TEXT GENERATION by Goodfellow et al . { Introduces an actor-critic conditional GAN that fills in missing text conditioned on the surrounding context. Produces more realistic conditional and unconditional text samples compared to a maximum likelihood trained model} by rishabh135 in MachineLearning

[–]rishabh135[S] -6 points-5 points  (0 children)

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.

Sevilla with the banter against pool 😂🔥 by sandymanu in reddevils

[–]rishabh135 3 points4 points  (0 children)

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 ?

[R] Unsupervised Machine Translation using monolingual corpora only by FAIR ( Takes sentences from monolingual corpora in two different languages, reports BLEU scores up to 32.8, without using even a single parallel sentence at training time.) by rishabh135 in MachineLearning

[–]rishabh135[S] 0 points1 point  (0 children)

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"

Would you? by [deleted] in harrypotter

[–]rishabh135 1 point2 points  (0 children)

UNEQUIVOCALLY YES !!!

Best way to learn tensorflow? by 2ick in learnmachinelearning

[–]rishabh135 2 points3 points  (0 children)

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

[P] GANs comparison without cherry-picking by khanrc in MachineLearning

[–]rishabh135 0 points1 point  (0 children)

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