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์ธ๊ณต์ง€๋ŠฅํŒฉํ† ๋ฆฌ(AIFactory) @UCI5Qk0X2qYa4933Aojsa4sw@youtube.com

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01:05
DPG AI ์ฑŒ๋ฆฐ์ง€ ์‹œ์ฆŒ1
04:06
Gemma ํŒŒ์ธํŠœ๋‹ ์•„์ด๋””์–ดํ†ค ์‚ฌ์ „ ์„ค๋ช…ํšŒ
16:13
2024๋…„ ์ œ์ฃผ ์œ„์„ฑ๋ฐ์ดํ„ฐ ํ™œ์šฉ ๊ฒฝ์ง„๋Œ€ํšŒ ์‚ฌ์ „์„ค๋ช…ํšŒ
54:47
[๊ทธ๋ž˜ํ”„ ๋Ÿฌ๋‹ ๋ฐ ํ•ด์ปคํ†ค] ํŒŒ์ด์ฌ ๋ฒ ์ด์Šค๋ผ์ธ ๋”ฐ๋ผํ•˜๊ธฐ - ์—ฐ์Šต
13:52
[๊ทธ๋ž˜ํ”„ ๋Ÿฌ๋‹ ๋ฐ ํ•ด์ปคํ†ค] ํŒŒ์ด์ฌ ๋ฒ ์ด์Šค๋ผ์ธ ์ฝ”๋“œ ๋”ฐ๋ผํ•˜๊ธฐ - ์ค€๋น„
38:08
2022 ์Šค๋งˆํŠธ๋†์—… AI ๊ฒฝ์ง„๋Œ€ํšŒ 2์ฐจ ์‚ฌ์ „ ์„ค๋ช…ํšŒ @gjto_official
02:19
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ์ˆœํ™˜์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ์˜ํ™” ๋ฆฌ๋ทฐ ๋ถ„๋ฅ˜
02:26
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ์ปจ๋ณผ๋ฃจ์…˜ ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ํŒจ์…˜์•„์ดํ…œ ์ด๋ฏธ์ง€ ๋ถ„๋ฅ˜
02:18
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ํŒจ์…˜์•„์ดํ…œ ์ด๋ฏธ์ง€ ๋ถ„๋ฅ˜
02:36
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ๋ถ€๋™์‚ฐ ๊ฐ€๊ฒฉ ์˜ˆ์ธก
04:04
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ํ”ผ๋งˆ์กฑ ๋‹น๋‡จ๋ณ‘ ์˜ˆ์ธก
02:40
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ฒ€์ฆํ•˜๊ธฐ
03:03
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ์•ŒํŒŒ๋ฒณ ์ˆ˜ํ™” ์ง์ ‘ ๋ฐฐ์›Œ๋ณด๊ธฐ
02:30
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ์ˆซ์ž์†๊ธ€์”จ ๋ถ„๋ฅ˜
03:24
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜ ์ˆ˜์น˜ ์˜ˆ์ธก
02:15
์ œ์ถœ ๋”ฐ๋ผํ•˜๊ธฐ - ์ˆซ์ž์†๊ธ€์”จ ์ง์ ‘ ๋ถ„๋ฅ˜ํ•ด๋ณด๊ธฐ
06:58
์ด๋ฏธ์ง€ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฐœ์„ ์‹œํ‚ค๊ธฐ
03:22
์ˆซ์ž์†๊ธ€์”จ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฒฐ๊ณผ ์ œ์ถœํ•˜๊ธฐ
01:20
๊ตฌ๊ธ€๊ณ„์ • ์ƒ์„ฑํ•˜๊ธฐ
00:48
๊ณ ๋ ค์‚ฌ์ด๋ฒ„๋Œ€ํ•™๊ต ํด๋ผ์šฐ๋“œ ๋žฉ ๊ณ„์ •์ƒ์„ฑํ•˜๊ธฐ
26:03
์ด๋ฏธ ์„ค์น˜๋˜์–ด ์žˆ๋Š” ์ธ๊ณต์ง€๋Šฅ ํ†ต์—ญ๊ธฐ ์‚ฌ์šฉํ•ด๋ณด๊ธฐ
28:19
์‚ฌ๋žŒ์„ ํ–ฅํ•œ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”
18:46
๊ธฐ์ˆ ์  ๋„๊ตฌ์˜ ๋‹ค์–‘์„ฑ(ํŒŒ์›Œํ”Œ๋žซํผ)
22:39
์ฑ…์ž„์žˆ๋Š” AI๋ฅผ ์œ„ํ•ด ๊ณ ๋ คํ•  MLOps์™€ ์˜คํ”ˆ์†Œ์Šค
20:34
๋ฌด์˜์‹์„ ์ด๋„๋Š” AI ๊ธฐ์ˆ , ๋””์ง€ํ„ธ ์ฝ˜ํ…์ธ ์— ๋‹ต์ด ์žˆ๋‹ค.
18:54
Enhanced AI Platform
17:21
์ธ๊ณต์ง€๋Šฅ ์ƒ๋ช…์˜ ์‹ ๋น„์— ๋„์ „ํ•˜๋‹ค, AlphaFold์™€ ํŠนํ—ˆ
38:17
Collaborative Filtering for Movie Recommendations
32:38
Image classification from scratch
18:30
๊น€์˜ํ•˜ Text classification from scratch 2
10:09
Text classification from scratch 1
05:55
Deep dream ์ด๋ก 
05:49
Deep dream ์ฝ”๋“œ
34:08
Deep Q Learning for Atari Breakout
20:20
Timeseries anomaly detection using an Autoencoder
22:50
Simple custom layer example Antirectifier
35:59
How to train a Keras model on TFRecord files
44:31
End to end Masked Language Modeling with BERT
24:03
Bidirectional LSTM on IMDB
53:28
Text Generation with miniature GPT
11:19
PixelCNN
33:05
Neural style transfer
22:43
Simple MNIST convnet
20:13
OCR Model for reading Capchas
21:37
Object Detection with RetinaNet
17:43
Model interpretability with Integrated Gradients
18:56
Knowledge Distillation
21:41
Image Super Resolution using an Efficient Sub Pixel CNN
34:40
Image segmentation with a U Net like architecture
23:11
Image classification via fine tuning with EfficientNet
17:55
Grad CAM class activation visualization
35:24
Semantic Similarity with BERT
11:39
Endpoint layer pattern
31:50
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - ALASKA2 Image Steganalysis Competition Gold Medal Solution
31:49
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - ํŒŒ์ด์ฌ ๋ช‡ ์ค„๋กœ ๊ฐ„๋‹จํžˆ ํ•ด๋ณด๋Š” ํƒ์ƒ‰์  ์ž๋ฃŒ ๋ถ„์„
21:09
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - mlflow๋กœ ๊ฐ„๋‹จํ•œ MLOps ๊ตฌ์ถ•ํ•˜๊ธฐ
29:28
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - ์บ๊ธ€์„ ํ†ตํ•œ ๋น„์ „๊ณต์ž์˜ ์ธ๊ณต์ง€๋Šฅ ์ „๊ณต์ž ๋˜๊ธฐ
30:11
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - Weights & Biases ๋ฅผ ํ™œ์šฉํ•œ ๋จธ์‹ ๋Ÿฌ๋‹ ์‹คํ—˜ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ธฐ
29:44
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - ์Šค๋งˆํŠธ ์›Œ์น˜์—์„œ ๋ฐ›์€ ๋‹ค๋ณ€๋Ÿ‰ ์‹œ๊ทธ๋„ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•œ ๊ธฐ๋ถ„ ์˜ˆ์ธก
19:43
[๋Œ€์ „์ •๋ณด๋ฌธํ™”์‚ฐ์—…์ง„ํฅ์›] 2020 ์บ๊ธ€๋Ÿฌ๋‹๋ฐ์ด - ๋น„์ •ํ˜• ์ƒํ™œ ํ๊ธฐ๋ฌผ ๋ถ„๋ฅ˜ ์†”๋ฃจ์…˜