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  • ๋ถ„๋ฅ˜ ์ „์ฒด๋ณด๊ธฐ (54)
    • ๐Ÿ“šSTUDY (51)
      • ๐Ÿ‘“hololens&MRTK (4)
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AtoZ; ์ฒ˜์Œ๋ถ€ํ„ฐ ๋๊นŒ์ง€ ๊ธฐ๋กํ•˜๋ ค๊ณ  ๋…ธ๋ ฅํ•ฉ๋‹ˆ๋‹คโœ

  • ๐Ÿ“šSTUDY/๐Ÿ’พ์ž๋ฃŒ๊ตฌ์กฐ

    01. ์ž๋ฃŒ๊ตฌ์กฐ lists: array, structure, linked list, stack, queue

    01. lists: array, stack, queue, structure, linked list ์ž๋ฃŒ๊ตฌ์กฐ, ๋ฆฌ์ŠคํŠธ, ๋ฐฐ์—ด, ์Šคํƒ, ํ, ๋งํฌ๋“œ ๋ฆฌ์ŠคํŠธ ์ง€๋‚œ ํ•™๊ธฐ์— ๋ฐฐ์šด ๋‚ด์šฉ๋“ค์ด๋‹ค. ์žŠ์€ ํ•™์ƒ๋“ค์„ ์œ„ํ•ด ๋ณต์Šต ๋А๋‚Œ์œผ๋กœ ๋„ฃ์€ ๋“ฏ ํ•˜๋‹ค. 1. Array ๋ฐฐ์—ด์ด๋ผ๊ณ ๋„ ๋ถ€๋ฅธ๋‹ค. ๋ฒˆํ˜ธ(์ธ๋ฑ์Šค)์™€ ๋ฒˆํ˜ธ์— ๋Œ€์‘ํ•˜๋Š” ๋ฐ์ดํ„ฐ๋“ค๋กœ ์ด๋ฃจ์–ด์ง„ ์ž๋ฃŒ๊ตฌ์กฐ๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์ž๋ฃŒํ˜•์ด ๊ฐ™์€ ๋ฐ์ดํ„ฐ๋ฅผ ์ผ๋ ฌ๋กœ ๋‚˜์—ดํ•˜๋Š” ๊ฒƒ์ด ํŠน์ง•์ด๋ฉฐ, ๋ณดํ†ต ์ฒซ๋ฒˆ์งธ ์นธ์˜ ์ธ๋ฑ์Šค๋Š” 0๋ถ€ํ„ฐ ์‹œ์ž‘ํ•œ๋‹ค. ์•„๋งˆ c๋ฅผ ๋ฐฐ์šธ ๋•Œ ๊ฐ€์žฅ ๋จผ์ € ๋ฐฐ์šฐ๋Š” ์ž๋ฃŒ๊ตฌ์กฐ๋‹ค. ์•„๋ž˜์™€ ๊ฐ™์€ ๋ฐฉ์‹์œผ๋กœ ์„ ์–ธ์„ ํ•  ์ˆ˜ ์žˆ๋‹ค. int a[5]; #์„ ์–ธ int a[5] = {0, }; #์„ ์–ธ๊ณผ ์ดˆ๊ธฐํ™” int a[5] = {1, 2, 3, 4, 5}; #์„ ์–ธ๊ณผ ์ดˆ๊ธฐํ™” ์ž๋ฃŒํ˜• ์ด๋ฆ„[๊ฐœ์ˆ˜] ์ฒ˜์Œ ๋ฐฐ์—ด์„ ๋งŒ๋“ค..

    2020. 2. 22.

  • ๐Ÿ“šSTUDY/๐Ÿ’พ์ž๋ฃŒ๊ตฌ์กฐ

    00. ์ž๋ฃŒ๊ตฌ์กฐ

    ์ž๋ฃŒ๊ตฌ์กฐ ์นดํ…Œ๊ณ ๋ฆฌ๋Š” '2020 ์ž๋ฃŒ๊ตฌ์กฐ ๋ฐ ์‹ค์Šต' ๊ณผ๋ชฉ์— ๋Œ€๋น„ํ•˜๊ธฐ ์œ„ํ•ด ๋ฏธ๋ฆฌ ๊ฐ•์˜ ๊ณ„ํš์„œ๋ฅผ ๋”ฐ๋ผ ์˜ˆ์Šต ๋ชฉ์ ์œผ๋กœ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. (์ž˜ ์ •๋ฆฌ๋˜๋ฉด ์‹œํ—˜ ๋•Œ ์š”์•ฝ๋ณธ์œผ๋กœ ์จ์•ผ์ง€) ์•„๋ž˜์™€ ๊ฐ™์€ ์ž๋ฃŒ ๊ตฌ์กฐ๋“ค์„ ๋‹ค๋ฃฐ ์˜ˆ์ •์ž…๋‹ˆ๋‹ค. 1. lists: array, stack, queue, structure, linked list 2. trees: introduction, tree traversal, binary trees, binary expression trees 3. trees: binary search trees, height-balanced trees, AVL tree, performance 4. internal sorting: insertion sort, selection sort, merge sort, quick ..

    2020. 2. 21.

  • ๐Ÿ“šSTUDY/๐Ÿ”ฅPytorch ML&DL

    02. Linear Regression

    ๋ณธ ๊ธ€์€ '๋ชจ๋‘๋ฅผ ์œ„ํ•œ ๋”ฅ๋Ÿฌ๋‹ ์‹œ์ฆŒ 2'์™€ 'pytorch๋กœ ์‹œ์ž‘ํ•˜๋Š” ๋”ฅ ๋Ÿฌ๋‹ ์ž…๋ฌธ'์„ ๋ณด๋ฉฐ ๊ณต๋ถ€ํ•œ ๋‚ด์šฉ์„ ์ •๋ฆฌํ•œ ๊ธ€์ž…๋‹ˆ๋‹ค. ํ•„์ž์˜ ์˜๊ฒฌ์ด ์„ž์—ฌ ๋“ค์–ด๊ฐ€ ๋ถ€์ •ํ™•ํ•œ ๋‚ด์šฉ์ด ์กด์žฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์„ ํ˜• ํšŒ๊ท€ = ํ•™์Šต ๋ฐ์ดํ„ฐ์™€ ๊ฐ€์žฅ ์ž˜ ๋งž๋Š” ํ•˜๋‚˜์˜ ์ง์„ ์„ ์ฐพ๋Š” ๊ณผ์ •! 0. ์ „์ฒด์ ์ธ ํ•™์Šต ๋ฐฉ๋ฒ• (๋‹ค๋ฅธ ํ•™์Šต์—๋„ ์ ์šฉ๋จ!) 1) ๋ฐ์ดํ„ฐ์— ์ ํ•ฉํ•œ ๊ฐ€์„ค์„ ์„ค์ •ํ•œ๋‹ค. 2) cost function, ์ฆ‰ ์˜ค์ฐจ๋น„์šฉ loss๋ฅผ ๊ตฌํ•  ํ•จ์ˆ˜๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค. 3) ์˜ค์ฐจํ•จ์ˆ˜์˜ ๊ธฐ์šธ๊ธฐ๋ฅผ ์ด์šฉํ•ด์„œ ๋ชจ๋ธ์„ ๊ฐœ์„ ํ•œ๋‹ค.(optimizer) 4) ๋งŒ์กฑ์Šค๋Ÿฌ์šด ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์˜ฌ ๋•Œ ๊นŒ์ง€ 3์„ ๋ฐ˜๋ณตํ•œ๋‹ค. 1. x๊ฐ€ ํ•˜๋‚˜์ธ linear regression ๊ตฌํ˜„ํ•˜๊ธฐ 1) Hypothesis ๊ฐ€์„ค์€ ์ธ๊ณต์‹ ๊ฒฝ๋ง์˜ ๊ตฌ์กฐ๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์ฆ‰, ์ฃผ์–ด์ง„ x์— ๋Œ€ํ•ด ์–ด๋–ค y๋ฅผ ๋ฑ‰..

    2020. 2. 21.

  • ๐Ÿ“šSTUDY/๐Ÿ”ฅPytorch ML&DL

    01. PyTorch ๊ธฐ์ดˆ

    ๋ณธ ๊ธ€์€ '๋ชจ๋‘๋ฅผ ์œ„ํ•œ ๋”ฅ๋Ÿฌ๋‹ ์‹œ์ฆŒ 2'์™€ 'pytorch๋กœ ์‹œ์ž‘ํ•˜๋Š” ๋”ฅ ๋Ÿฌ๋‹ ์ž…๋ฌธ'์„ ๋ณด๋ฉฐ ๊ณต๋ถ€ํ•œ ๋‚ด์šฉ์„ ์ •๋ฆฌํ•œ ๊ธ€์ž…๋‹ˆ๋‹ค. ํ•„์ž์˜ ์˜๊ฒฌ์ด ์„ž์—ฌ ๋“ค์–ด๊ฐ€ ๋ถ€์ •ํ™•ํ•œ ๋‚ด์šฉ์ด ์กด์žฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 01. pytorch pagkage ๊ธฐ๋ณธ ๊ตฌ์„ฑ torch : ๋ฉ”์ธ ๋„ค์ž„์ŠคํŽ˜์ด์Šค torch.autograd : ์ž๋™ ๋ฏธ๋ถ„์„ ์œ„ํ•œ ํ•จ์ˆ˜๋“ค(function) torch.nn : ์‹ ๊ฒฝ๋ง ๊ตฌ์ถ•์„ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ & ๋ ˆ์ด์–ด torch.optim : ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ตฌํ˜„ torch.utils.data : SGD์˜ ๋ฐ˜๋ณต์—ฐ์‚ฐ์„ ์‹คํ–‰ํ•  ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ๋ฏธ๋‹ˆ ๋ฐฐ์น˜์šฉ ์œ ํ‹ธ๋ฆฌํ‹ฐ ํ•จ์ˆ˜ torch.onnx : ONNX์˜ ํฌ๋งท. 02. Vector, Matrix, and Tensor 1์ฐจ์› (1D) - vector 2์ฐจ์› (2D) - mat..

    2020. 2. 13.

  • ๐Ÿ“šSTUDY/๐ŸŽ‡๋‹คํ• (dafit.me)

    [DF913] 09. ๋ฌธ์ž์—ด ํ•„ํ„ฐ

    09. ๋ฌธ์ž์—ด ํ•„ํ„ฐ http://www.dafit.me/question/?q=YToxOntzOjEyOiJrZXl3b3JkX3R5cGUiO3M6MzoiYWxsIjt9&bmode=view&idx=2968780&t=board [DF913] ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ํ›ˆ๋ จ 10์ œ : ๋‹คํ•, ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค ์—ฐ์Šต๋ฌธ์ œ ๐Ÿ”ฅ ๋ฌธ์ œ ์„ค๋ช…ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ํ›ˆ๋ จํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ณธ ์—ฐ์Šต๋ฌธ์ œ 10์ œ์ž…๋‹ˆ๋‹ค. (ver.3.6.) ๐Ÿ”ฅ ์ถ”์ฒœ ๋Œ€์ƒ ๋ฐ ํ•™์Šต ๋ชฉํ‘œํŒŒ์ด์ฌ ๊ณต๋ถ€๋ฅผ ์ตœ๊ทผ์— ์‹œ์ž‘ํ•˜๊ฑฐ๋‚˜ ๋งˆ์นœ ์ž.→ ์ด ๋‚œ์ด๋„ ์ˆ˜์ค€์„ ํ•ด๊ฒฐํ•ด๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๊ณต๋ถ€ํ•˜๋Š” ๊ฒƒ์„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค.("๋‚ด๊ฐ€ ์ตœ๊ทผ์— ํŒŒ์ด์ฌ์„ ๊ณต๋ถ€ํ–ˆ๋Š”๋ฐ, ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์„๊นŒ?")ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ๋‹ค์‹œ ์—ฐ์Šต ๋ฐ ๋ณต์Šตํ•ด์•ผํ•  ํ•„์š”์„ฑ์„ ๋А๋ผ๋Š” ์ž.→ ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ์ ์ธ ๋‚ด์šฉ์„ ํ›ˆ๋ จํ•จ์œผ๋กœ์จ, ์ˆ™๋ จ๋„๋ฅผ ..

    2020. 2. 11.

  • ๐Ÿ“šSTUDY/๐ŸŽ‡๋‹คํ• (dafit.me)

    [DF913] 08. ์•ŒํŒŒ๋ฒณ ๋””์ฝ”๋”ฉ

    08. ์•ŒํŒŒ๋ฒณ ๋””์ฝ”๋”ฉ http://www.dafit.me/question/?q=YToxOntzOjEyOiJrZXl3b3JkX3R5cGUiO3M6MzoiYWxsIjt9&bmode=view&idx=2968780&t=board [DF913] ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ํ›ˆ๋ จ 10์ œ : ๋‹คํ•, ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค ์—ฐ์Šต๋ฌธ์ œ ๐Ÿ”ฅ ๋ฌธ์ œ ์„ค๋ช…ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ํ›ˆ๋ จํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ณธ ์—ฐ์Šต๋ฌธ์ œ 10์ œ์ž…๋‹ˆ๋‹ค. (ver.3.6.) ๐Ÿ”ฅ ์ถ”์ฒœ ๋Œ€์ƒ ๋ฐ ํ•™์Šต ๋ชฉํ‘œํŒŒ์ด์ฌ ๊ณต๋ถ€๋ฅผ ์ตœ๊ทผ์— ์‹œ์ž‘ํ•˜๊ฑฐ๋‚˜ ๋งˆ์นœ ์ž.→ ์ด ๋‚œ์ด๋„ ์ˆ˜์ค€์„ ํ•ด๊ฒฐํ•ด๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๊ณต๋ถ€ํ•˜๋Š” ๊ฒƒ์„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค.("๋‚ด๊ฐ€ ์ตœ๊ทผ์— ํŒŒ์ด์ฌ์„ ๊ณต๋ถ€ํ–ˆ๋Š”๋ฐ, ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์„๊นŒ?")ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ๋‹ค์‹œ ์—ฐ์Šต ๋ฐ ๋ณต์Šตํ•ด์•ผํ•  ํ•„์š”์„ฑ์„ ๋А๋ผ๋Š” ์ž.→ ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ์ ์ธ ๋‚ด์šฉ์„ ํ›ˆ๋ จํ•จ์œผ๋กœ์จ, ์ˆ™๋ จ๋„๋ฅผ..

    2020. 2. 11.

  • ๐Ÿ“šSTUDY/๐ŸŽ‡๋‹คํ• (dafit.me)

    [DF913] 07. ๋ณ„์ฐ๊ธฐ ํ˜ผํ•ฉ

    07. ๋ณ„์ฐ๊ธฐ ํ˜ผํ•ฉ http://www.dafit.me/question/?q=YToxOntzOjEyOiJrZXl3b3JkX3R5cGUiO3M6MzoiYWxsIjt9&bmode=view&idx=2968780&t=board [DF913] ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ํ›ˆ๋ จ 10์ œ : ๋‹คํ•, ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค ์—ฐ์Šต๋ฌธ์ œ ๐Ÿ”ฅ ๋ฌธ์ œ ์„ค๋ช…ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ํ›ˆ๋ จํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ณธ ์—ฐ์Šต๋ฌธ์ œ 10์ œ์ž…๋‹ˆ๋‹ค. (ver.3.6.) ๐Ÿ”ฅ ์ถ”์ฒœ ๋Œ€์ƒ ๋ฐ ํ•™์Šต ๋ชฉํ‘œํŒŒ์ด์ฌ ๊ณต๋ถ€๋ฅผ ์ตœ๊ทผ์— ์‹œ์ž‘ํ•˜๊ฑฐ๋‚˜ ๋งˆ์นœ ์ž.→ ์ด ๋‚œ์ด๋„ ์ˆ˜์ค€์„ ํ•ด๊ฒฐํ•ด๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๊ณต๋ถ€ํ•˜๋Š” ๊ฒƒ์„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค.("๋‚ด๊ฐ€ ์ตœ๊ทผ์— ํŒŒ์ด์ฌ์„ ๊ณต๋ถ€ํ–ˆ๋Š”๋ฐ, ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์„๊นŒ?")ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ๋‹ค์‹œ ์—ฐ์Šต ๋ฐ ๋ณต์Šตํ•ด์•ผํ•  ํ•„์š”์„ฑ์„ ๋А๋ผ๋Š” ์ž.→ ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ์ ์ธ ๋‚ด์šฉ์„ ํ›ˆ๋ จํ•จ์œผ๋กœ์จ, ์ˆ™๋ จ๋„๋ฅผ ..

    2020. 2. 11.

  • ๐Ÿ“šSTUDY/๐ŸŽ‡๋‹คํ• (dafit.me)

    [DF913] 06. 369 ๊ฒŒ์ž„ ํ”„๋กœ๊ทธ๋ž˜๋ฐ

    06. 369 ๊ฒŒ์ž„ ํ”„๋กœ๊ทธ๋ž˜๋ฐ http://www.dafit.me/question/?q=YToxOntzOjEyOiJrZXl3b3JkX3R5cGUiO3M6MzoiYWxsIjt9&bmode=view&idx=2968780&t=board [DF913] ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ํ›ˆ๋ จ 10์ œ : ๋‹คํ•, ๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šค ์—ฐ์Šต๋ฌธ์ œ ๐Ÿ”ฅ ๋ฌธ์ œ ์„ค๋ช…ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ํ›ˆ๋ จํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ณธ ์—ฐ์Šต๋ฌธ์ œ 10์ œ์ž…๋‹ˆ๋‹ค. (ver.3.6.) ๐Ÿ”ฅ ์ถ”์ฒœ ๋Œ€์ƒ ๋ฐ ํ•™์Šต ๋ชฉํ‘œํŒŒ์ด์ฌ ๊ณต๋ถ€๋ฅผ ์ตœ๊ทผ์— ์‹œ์ž‘ํ•˜๊ฑฐ๋‚˜ ๋งˆ์นœ ์ž.→ ์ด ๋‚œ์ด๋„ ์ˆ˜์ค€์„ ํ•ด๊ฒฐํ•ด๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๊ณต๋ถ€ํ•˜๋Š” ๊ฒƒ์„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค.("๋‚ด๊ฐ€ ์ตœ๊ทผ์— ํŒŒ์ด์ฌ์„ ๊ณต๋ถ€ํ–ˆ๋Š”๋ฐ, ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์„๊นŒ?")ํŒŒ์ด์ฌ ๊ธฐ์ดˆ ๋ฌธ๋ฒ•์„ ๋‹ค์‹œ ์—ฐ์Šต ๋ฐ ๋ณต์Šตํ•ด์•ผํ•  ํ•„์š”์„ฑ์„ ๋А๋ผ๋Š” ์ž.→ ํŒŒ์ด์ฌ์˜ ๊ธฐ์ดˆ์ ์ธ ๋‚ด์šฉ์„ ํ›ˆ๋ จํ•จ์œผ๋กœ์จ,..

    2020. 2. 10.

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