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Ntọala AI
Ghọta ihe AI bụ, ka sistemụ si amụta, ebe ha dara, yana otu esi ekpe ikpe na-ekwu na-enweghị hype.
Free AI library
Visual AI nduFree forever.
133 plain-English guides, structured learning paths, and an open library — built by an independent 501(c)(3) nonprofit so anyone can understand modern AI.
133Ntuziaka efu
1Topic tracks
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Bido ebe a
Ise outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
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Onye ọrụ AI nwere ọrụ
Jiri AI rụọ ọrụ nke ọma ka ị na-echekwa nzuzo, na-enyocha ihe arụpụta, yana ichekwa ụgwọ ọrụ mmadụ.
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AI na ọrụ
Nyochaa iji okwu n'ebe ọrụ, na-agba ọsọ ndị na-anya ụgbọ elu dị nchebe, tụọ uru, wee kparịta mgbanwe n'ụzọ kwesịrị ekwesị.
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Amụma AI & Society
Nyochaa sistemu AI site na ikike, nha nha nha, ọchịchị, nchekwa na nsonaazụ ọhaneze.
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Ime ụlọ na AI Systems
Ghọta ụdị asụsụ, iweghachite, ndị nnọchiteanya, nyocha, ọnụahịa, na nchebe nnyefe site na nhazi usoro.
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Ihe ndị bụ isiIsi echiche: ka AI si arụ ọrụ na ọkwa dị elu.84 ndu Asụsụ AILLMs, NLP, ChatGPT, mkpali, na nghọta ederede.155 ndu Visual AIỌgbọ onyonyo, ọhụụ kọmputa, vidiyo, na imewe.133 ndu Audio AIOlu, egwu, pọdkastị na ọdịyo-mbụ AI.117 ndu Companieslọ ọrụProfaịlụ nke OpenAI, Anthropic, Google, Meta, na ndị ọzọ.121 ndu NgwaKedu ka AI si egosipụta na nzuzo, ọchụchọ, ndị nnọchite, na ndụ kwa ụbọchị.111 ndu Ụlọ ọrụAI na ahụike, ego, agụmakwụkwọ, ike na ndị ọzọ.91 ndu Nka na ụzụChips, nlegharị anya nke ọma, RAG, vectors na akụrụngwa AI.177 ndu Ọha mmadụỌgbaghara, nzuzo, nwebisiinka, nchekwa na ọdịnihu AI.30 ndu
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Nduzi niile
133 nke 1019 egosiputara ntuziaka. Wepụta site na egwu ma ọ bụ chọọ n'elu.
Visual AI
Nghọta vidiyo
Video understanding analyzes visual and sometimes audio information across time.
Visual AIỌchụchọ multimodal
Multimodal search retrieves information across forms such as text, images, audio, and video.
Visual AIAkwụkwọ AI
Document AI extracts and interprets information from files such as forms, reports, invoices, and scanned pages.
Visual AIỤlọ ọrụ Wasserstein GAN
Wasserstein GAN (WGAN) bụ nhazigharị nke ebumnuche ọzụzụ GAN nke na-eji anya Wasserstein kama mfu min-max mbụ.
Visual AIỌnọdụ GAN
Ọnọdụ GAN (cGANs) na-agbatị GAN nkịtị site na ịnye ozi ndị ọzọ, dị ka akara klaasị ma ọ bụ ederede, n'ime ma ndị na-emepụta ọkụ na ịkpa ókè.
Visual AINtụgharị asụsụ Pix2Pix na onyonyo
Pix2Pix bụ GAN nwere ọnọdụ na-amụta ịtụgharị otu ụdị onyonyo ka ọ bụrụ nke ọzọ, dị ka ịtụgharị eserese ka ọ bụrụ foto ma ọ bụ maapụ ka ọ bụrụ nlele satịlaịtị.
Visual AIAgba nke onyonyo
Ịchacha ihe onyonyo na-eji AI gbakwunye ezigbo agba na foto na ihe nkiri ojii na ọcha.
Visual AINhazi sitere na Motion
Nhazi sitere na Motion (SfM) na-ewughachi geometry ihe nkiri 3D yana ọnọdụ igwefoto site na foto 2D na-ekpuchi anya nke e si n'echiche dị iche iche.
Visual AIMulti-View Stereo
Multi-View Stereo (MVS) na-ese foto dị iche iche nke ihe nkiri wee mepụta nwughari 3D dị egwu site n'ịtụle omimi n'ihe fọrọ nke nta ka ọ bụrụ pixel ọ bụla.
Visual AIDDPM na DDIM Samples
DDPM na DDIM bụ ụzọ abụọ iji mee mgbanwe mgbanwe nke ụdị mgbasa ozi, na-atụgharị mkpọtụ enweghị usoro ka ọ bụrụ ihe onyonyo site na nzọụkwụ.
Visual AIỤdị Ọdịbendị dabere na akara
Ụdị mmepụta ihe dabere na akara na-emepụta data site n'ịmụ gradient nke nkesa data - ntụzịaka na-eme ka nlele mkpọtụ ọ bụla yie ka ọ dị adị…
Visual AIEbe ọdịda Fréchet
Fréchet Inception Distance (FID) bụ metric ọkọlọtọ maka ikpebi etu ihe onyonyo ewepụtara si bụrụ eziokwu yana dị iche iche.
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