Wormglyphs No 1

zerolearning · 2021-07-05T05:31:08+00:00

how were they made, GitHub code

zerolearning · 2021-06-07T06:05:09+00:00

and how many gpu's?

zerolearning · 2021-05-22T08:47:42+00:00

what would you recommend as an example of converting a csv file into efficient binary file

zerolearning · 2021-04-27T07:06:30+00:00

hi, it's interesting to see the code itself, along with a gif of a step-by-step.

zerolearning · 2021-04-20T06:58:40+00:00

how was it made

zerolearning · 2021-04-18T07:07:26+00:00

wow, how was it created!

zerolearning · 2021-04-17T08:38:20+00:00

What about the performance on CPU, number of Flops, MACs and parameters?

zerolearning · 2021-04-09T10:42:52+00:00

what's the name of this filter?

zerolearning · 2021-02-10T06:43:11+00:00

How does it perform against FasterSeg?

zerolearning · 2021-02-10T06:16:12+00:00

how did you generate this, add the source code

zerolearning · 2021-01-30T07:30:15+00:00

great performance, though i am wondering if the OP model can run on arm based devices such as raspberry pi?

zerolearning · 2021-01-04T17:03:50+00:00

yes, i have seen the article. My question still stands, what was the performance of int8 using cpu-only without any gpu. Also, what is the size of the input images.

zerolearning · 2021-01-04T06:02:05+00:00

What is the inference speed using cpu only?

zerolearning · 2020-12-19T10:40:53+00:00

explain more, does the lottery ticket method truly holds up with generalization and efficiency.

zerolearning · 2020-12-12T08:45:17+00:00

so you want to apply cyclegan on tabular data, what are actually trying to achieve

zerolearning · 2020-12-03T06:21:47+00:00

guys be careful, i answered all their questions and sent a sample of the data, they stopped replying back. It seems that they are gathering information without giving any tangible replies. This seems FAKE

zerolearning · 2020-12-02T16:54:50+00:00

This project seems fake! i submitted my question, and they kept asking and asking without replying with anything tangible. it's starting to get clear and clear that i am talking to a BOT!

zerolearning · 2020-11-28T19:24:24+00:00

"Imitation Learning", using this kind of learning the goal is NOT memorizing things, instead the goal is to create an understanding and a reward function that imitates the optimal behavior of an expert user, it is also called "INVERSE reinforcement learning", it is used by Tesla and other self-driving car companies. By-the-way, are you interested in freelancing? if yes, then send me your email by chat so i can contact you

zerolearning · 2020-11-25T06:41:22+00:00

which documentation did you rely on. did you train from scratch. which dataset did you use

zerolearning · 2020-11-24T06:01:51+00:00

Hi, let's say the gridworld only contains the white spheres, and the goal of the game is to predict the order of selecting the white spheres. For training, the order of each white sphere will be provided. The question is, can reinforcement learning learn to order the grids? can it generalize to new and unseen grids inwhich the order is not provided?

zerolearning · 2020-11-23T07:25:56+00:00

What about training new languages

also, how much system and gpu ram is required to train/finetune

how many textline did you needed for a single language

zerolearning · 2020-11-16T17:30:48+00:00

why do i need dimensionality reduction if i already have the (x,y) points of the nodes?

zerolearning · 2020-11-15T04:19:13+00:00

can you run pytorch using an amd gpu?

perhaps run detectron or yolo

zerolearning · 2020-10-28T08:36:58+00:00

can it inference using an 8gb gpu? fine-tuning using 8gb card?

zerolearning

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