DisWastingMyTime
DisWastingMyTime t1_j6p1t2y wrote
Reply to comment by bananonymos in [D] Have researchers given up on traditional machine learning methods? by fujidaiti
What untill you hear what is the underlying concept of everything ever.
CPU? Thats just bool logic! Differential equations for flight control? My man, that's just a few dxdys faking stable solutions!
What a boring take, every time I've heard it in person it proved to be said by a person who knew very little about the complexities of the topic they're reducing to the "underlying" concepts.
No offense to any of you "sophisticated" fellows
DisWastingMyTime t1_j6hh4f2 wrote
Is there anywhere I could see a summary of the decisions taken/changes made?
I saw you linked to the original paper that started this, I'll look into it, but I hope there's a more readable way to go over your experiments and insights than browsing the code.
Very interesting though, thanks for sharing!
DisWastingMyTime t1_j47ans8 wrote
Reply to comment by thedabking123 in [D] Bitter lesson 2.0? by Tea_Pearce
In vision/robotics this is already the case, low hardware/liw cost requirements is an incredible seller for automotive industry, so large disgusting models are out.
But we still use deep, if anything it's pretty surprising how much is possible with "shallow" models, for specialized domains, but thats still very far from explainable models
DisWastingMyTime t1_j0ktrl2 wrote
Reply to [R] Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow by Ok-Teacher-22
Is there a compiled list of these bugs somewhere?
DisWastingMyTime t1_j0ksuw5 wrote
Reply to comment by Mars_rocket in [R] Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow by Ok-Teacher-22
I have a repeatable setup in which fixing an issue with how I encoded/decoded an image reduced my performance, has a lot to do with jpg artifacts augmentation
DisWastingMyTime t1_izxiscu wrote
Reply to comment by aleph__one in [D] G. Hinton proposes FF – an alternative to Backprop by mrx-ai
Whats the problem you're using it for?
DisWastingMyTime t1_iw835jt wrote
Reply to comment by badhandml in [D] ML/AI role as a disabled person by badhandml
Maybe try pure algo positions in vision/medical/sensor domain, less code more domain knowledge, analytical problem solving and paper surveys, not sure how it is at FANG though
DisWastingMyTime t1_iw6hca9 wrote
Can't sell pretrained models, can't sell models who were trained on public data, can't run modern models on edge devices that the clients want because they want it as cheap as possible.
DisWastingMyTime t1_ivz4eyz wrote
Reply to [D] Current Job Market in ML by diffusion-xgb
Depends on application, companies in which ML is part of the main product will be more robust, experimental/research/marketing will probably see more issues, data scientists who aren't already operational with proven numbers might take a large hit
DisWastingMyTime OP t1_iu54512 wrote
Reply to comment by Imnimo in [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? by DisWastingMyTime
Yeah that's the main usage I imagined, would would have the course of action for these cases? More adversarial examples/cutout of the object and leaving the background?
DisWastingMyTime OP t1_iu53wx1 wrote
Reply to comment by Imaginary_pencil in [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? by DisWastingMyTime
Yeah dropouts are great!
DisWastingMyTime OP t1_iu52gcw wrote
Reply to comment by DigThatData in [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? by DisWastingMyTime
Thank you for the well thought response, will look into those (or my team will ;) )
DisWastingMyTime OP t1_iu50s57 wrote
Reply to comment by PeedLearning in [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? by DisWastingMyTime
Do you use anything else instead, or 'just' metrics and inference results/distribution?
DisWastingMyTime t1_j6p3xrr wrote
Reply to comment by bananonymos in [D] Have researchers given up on traditional machine learning methods? by fujidaiti
You're right, that was out of place, I apologize.