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[Tensorflow Error] AttributeError: 'str' object has no attribute 'decode'

Tensorflow 1.15.2 ๋ฒ„์ „์—์„œ ๋ชจ๋ธ์„ ๋ถˆ๋Ÿฌ์˜ค๋ฉด์„œ ๋ฐœ์ƒํ•œ ์—๋Ÿฌ์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ๋Š” ํ•ด๊ฒฐ์™„๋ฃŒ~!

2022๋…„ 6์›” 2์ผ
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[Pytorch Error] Dimension out of range (expected to be in range of [-1, 0], but got 1)

IndexError: Dimension out of range (expected to be in range of -1,0, but got 1) -> flatten(x,1)๋กœ ์—๋Ÿฌํ•ด๊ฒฐ

2022๋…„ 5์›” 16์ผ
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[Object Detection] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Faster R-CNN ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ. ๊ธฐ์กด์˜ R-CNN๊ณผ Fast R-CNN์— ๋น„ํ•ด ํ›จ์”ฌ ๋” ๋น ๋ฅธ R-CNN์œผ๋กœ ์ข‹์€ ์„ฑ๋Šฅ์„ ๋ณด์ž„.

2022๋…„ 5์›” 10์ผ
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[CS234] Lecture4. Model Free Control

Model-Free ๋ฐฉ๋ฒ•์œผ๋กœ Monte Carlo(MC)์™€ Temporal Difference(TD)์— ํฌํ•จ๋˜๋Š” SARSA, Q-Learning์— ๋Œ€ํ•ด ๋‹ค๋ฃฐ ์˜ˆ์ •. on-policy์™€ off-policy ์ฐจ์ด์— ๋Œ€ํ•ด ์•Œ ์ˆ˜ ์žˆ์Œ.

2022๋…„ 5์›” 3์ผ
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[Classification] Xception: Deep Learning with Depthwise Separable Convolutions(2017)

Extreme Inception์˜ ์•ฝ์ž๋กœ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ƒˆ๋กœ์šด deep convolutional neural network ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ œ์•ˆํ•จ. Inception V3์— ๋น„ํ•ด ๋” ๋‚˜์€ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์คŒ.

2022๋…„ 3์›” 30์ผ
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[CS234] Lecture1. Introduction

Stanford ๋Œ€ํ•™์˜ CS234(Reinforcement Learning) ์ˆ˜์—…์„ ๋“ฃ๊ณ  ์ •๋ฆฌํ•œ ํฌ์ŠคํŠธ์ž…๋‹ˆ๋‹ค. Lecture 1์€ Introduction์œผ๋กœ, ๊ฐ•ํ™”ํ•™์Šต๊ณผ Agent/Observation/Reward์— ๋Œ€ํ•˜์—ฌ ์†Œ๊ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

2022๋…„ 3์›” 24์ผ
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[ํŒŒ์ด์ฌ ๊ธฐ์ดˆ] ์ž๋ฃŒํ˜•(๋ฌธ์ž์—ด)๊ณผ ๊ธฐ๋ณธ ์—ฐ์‚ฐ(2)

์•ˆ๋…•ํ•˜์„ธ์š”!๐Ÿ˜š ์ด๋ฒˆ ํฌ์ŠคํŒ…์—์„œ๋Š” ๋ฌธ์ž์—ด์˜ ์ธ๋ฑ์‹ฑ ๋ฐ ์Šฌ๋ผ์ด์‹ฑ๊ณผ ๋ฌธ์ž์—ด ๊ด€๋ จ ํ•จ์ˆ˜๋“ค์— ๋Œ€ํ•˜์—ฌ ์†Œ๊ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. :)

2021๋…„ 8์›” 2์ผ
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[ํŒŒ์ด์ฌ ๊ธฐ์ดˆ] ์ž๋ฃŒํ˜•(๋ฌธ์ž์—ด)๊ณผ ๊ธฐ๋ณธ ์—ฐ์‚ฐ(1)

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜Š ์ด๋ฒˆ ํฌ์ŠคํŒ…์—์„œ๋Š” ๋ฌธ์ž์—ด ์ƒ์„ฑ ๋ฐฉ๋ฒ•๊ณผ ํŠน์ˆ˜๋ฌธ์ž ํ‘œํ˜„,๋ฌธ์ž์—ด ์—ฐ์‚ฐ ๋ฐ ํฌ๋งทํŒ…์— ๋Œ€ํ•ด ๋‹ค๋ฃจ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. :)

2021๋…„ 8์›” 2์ผ
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[ํŒŒ์ด์ฌ ๊ธฐ์ดˆ] ๋ณ€์ˆ˜_์ž๋ฃŒํ˜•์—๊ฒŒ ๊ผญ ํ•„์š”ํ•œ ์กด์žฌ

๋ณ€์ˆ˜์˜ ์ •์˜์— ๋Œ€ํ•˜์—ฌ ์„ค๋ช…ํ•˜๊ณ , ๋ณ€์ˆ˜ ์ƒ์„ฑ๊ณผ ๊ด€๋ จ๋œ ๋ณ€์ˆ˜๋ช… ์„ค์ • ์กฐ๊ฑด, ๋ฎ์–ด์“ฐ๊ธฐ ๊ทธ๋ฆฌ๊ณ  ๋ณ€์ˆ˜๋ช… ์‚ญ์ œํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋Š” ํฌ์ŠคํŒ…์ž…๋‹ˆ๋‹ค๐Ÿ˜Š

2021๋…„ 7์›” 25์ผ
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[ํŒŒ์ด์ฌ ๊ธฐ์ดˆ] ์ž๋ฃŒํ˜•(Boolean)๊ณผ ๊ธฐ๋ณธ ์—ฐ์‚ฐ

์ž๋ฃŒํ˜• ์ค‘ ๋ถˆ๋ฆฌ์–ธ(Boolean)์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ณ , ๋…ผ๋ฆฌ ์—ฐ์‚ฐ๊ณผ ๋น„๊ต ์—ฐ์‚ฐ์— ๋Œ€ํ•œ ํฌ์ŠคํŒ…์ž…๋‹ˆ๋‹ค๐Ÿ˜Š

2021๋…„ 7์›” 25์ผ
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[ํŒŒ์ด์ฌ ๊ธฐ์ดˆ] ์ž๋ฃŒํ˜•(์ˆซ์ž)๊ณผ ๊ธฐ๋ณธ ์—ฐ์‚ฐ

์ž๋ฃŒํ˜•์— ๋Œ€ํ•ด ๊ฐ„๋‹จํ•˜๊ฒŒ ์†Œ๊ฐœํ•˜๊ณ , ์ž๋ฃŒํ˜• ์ค‘ ์ˆซ์ž์— ๋Œ€ํ•œ ๊ธฐ๋ณธ ์—ฐ์‚ฐ์„ ์„ค๋ช…ํ•˜๋Š” ํฌ์ŠคํŒ…์ž…๋‹ˆ๋‹ค!๐Ÿ˜Š

2021๋…„ 7์›” 25์ผ
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Python ์†Œ๊ฐœ ๋ฐ Anaconda ์„ค์น˜

Python์— ๋Œ€ํ•˜์—ฌ ์†Œ๊ฐœํ•˜๊ณ  Python ์„ค์น˜ ๋ฐฉ๋ฒ•๊ณผ ํŒŒ์ด์ฌ IDE ์ค‘ ํ•˜๋‚˜์ธ Anaconda ์„ค์น˜ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ํฌ์ŠคํŒ…์ž…๋‹ˆ๋‹ค๐Ÿ˜Š

2021๋…„ 7์›” 24์ผ
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