che_shr_cat's comments

On: Deep Learning with Jax

[che_shr_cat]

Thank you for the feedback! I'm the author of the book :)

On: Big Post About Big Context

[che_shr_cat]

I updated the post a bit, added a few clarifications

On: Big Post About Big Context

[che_shr_cat]

the close example is Machine translation quality estimation (MTQE)

On: Big Post About Big Context

[che_shr_cat]

That means the models still confabulate and make other errors, and for many cases it's a problem, so there should be solutions to control model output quality

On: Hardware for Deep Learning, Part 3: GPU

[che_shr_cat]

Thanks!

On: Hardware for Deep Learning, Part 3: GPU

[che_shr_cat]

Many companies designed or designing their own chips. The most prominent example is Google TPU.

There will be another articles in this series on FPGAs, ASICs and so on.

[godelmachine → che_shr_cat]

Eagerly waiting for the one on FPGA’s and ASIC’s

[che_shr_cat → godelmachine]

The original plan was this:

https://blog.inten.to/hardware-for-deep-learning-current-sta...

[godelmachine → che_shr_cat]

http://www.cs.cornell.edu/courses/cs6787/2017fa/Lecture11.pd...

[godelmachine → che_shr_cat]

Thanks for this.

There was also a PDF published by some university on Hardware required on DL operations. Must be somewhere in my submitted posts here

[jaimex2 → che_shr_cat]

Awesome! Looking forward to it.

On: 19 Machine Translation engines compared for 48 language pairs

[che_shr_cat]

Cool report! No single best provider :)

On: Cloud Sentiment Analysis – Vendor Overview (April 2018)

[che_shr_cat]

It seems to be so inefficient market!..