01
Gidauniyar AI
Fahimtar abin da AI yake, yadda tsarin ke koya, inda suka kasa, da kuma yadda ake yin hukunci da da'awar ba tare da talla ba.
Laburaren AI kyauta
Muhimman abubuwa jagororiKyauta har abada.
84 jagororin turanci a sarari, tsayayyen hanyoyin koyo, da buɗe ɗakin karatu - wanda 501(c)(3) mai zaman kanta ta gina ta yadda kowa zai iya fahimtar AI na zamani.
84Jagoran kyauta
1Waƙoƙin jigo
~2 minKowane jagora
~3hLokacin karatu
Fara a nan
Biyar darussa na tushen sakamako
Kowane darasi ya haɗa da tabbataccen sakamako, ƙwarewar taswira, ayyukan yi, da babban dutse da aka yi amfani da shi.
02
Mai amfani AI mai alhakin
Yi amfani da AI da kyau yayin kare sirri, bincika abubuwan da aka fitar, da kiyaye lissafin ɗan adam.
03
AI a Aiki
Yi ƙididdige shari'o'in amfani da wurin aiki, gudanar da amintattun matukan jirgi, auna ƙima, da sadar da canje-canje cikin gaskiya.
04
Manufar AI & Al'umma
Yi nazarin tsarin AI ta hanyar haƙƙoƙi, daidaito, shugabanci, aminci, da sakamakon amfanin jama'a.
05
Gina tare da AI Systems
Fahimtar ƙirar harshe, maidowa, wakilai, kimantawa, farashi, da tsare-tsaren turawa ta hanyar ƙira mai amfani.
Waƙoƙin jigo
Bincika ta hanya
Tsallaka zuwa yankin da kuke damuwa. Kowace waƙa tana da jagororin bayyanannun Ingilishi da yawa.
Muhimman abubuwaMahimman ra'ayi: yadda AI ke aiki a babban matakin.84 jagorori Harshen AILLMs, NLP, ChatGPT, faɗakarwa, da fahimtar rubutu.155 jagorori Kayayyakin AIƘirƙirar hoto, hangen nesa na kwamfuta, bidiyo, da ƙira.133 jagorori Audio AIMurya, kiɗa, kwasfan fayiloli, da audio-farko AI.117 jagorori KamfanoniBayanan bayanan OpenAI, Anthropic, Google, Meta, da ƙari.121 jagorori Aikace-aikaceYadda AI ke nunawa a cikin coding, bincike, wakilai, da rayuwar yau da kullun.111 jagorori Masana'antuAI a cikin kiwon lafiya, kuɗi, ilimi, makamashi, da ƙari.91 jagorori Na fasahaChips, daidaitawa, RAG, vectors, da kayan aikin AI.177 jagorori Al'ummaBias, keɓantawa, haƙƙin mallaka, aminci, da makomar AI.30 jagorori
Cikakken ɗakin karatu
Duk jagora
84 na 1019 jagororin da aka nuna. Tace ta hanya ko bincike a sama.
Muhimman abubuwa
Kunna Kai Mai Kyau-Tuning
Daidaita wasa da kai yana inganta ƙirar ta hanyar yin gogayya da ko koyi daga abubuwan da ya gabata, samar da siginar horo.
Muhimman abubuwaHoron-Lokacin Gwaji
Horon-lokacin gwaji (TTT) yana ƙyale samfurin ya ci gaba da koyo daga kowane sabon shigarwa a lokacin da yake yin hasashen, maimakon zama daskarewa bayan horo.
Muhimman abubuwaGrokking da Jinkirta Gabaɗaya
Grokking wani lamari ne mai ban mamaki inda cibiyar sadarwa ta farko ta haddace bayanan horon ta, ta zauna a kusa da ingancin ingancin inganci na dogon lokaci, sannan…
Muhimman abubuwaƘarfafawa da Ƙarfafawa
Yin wuce gona da iri shine lokacin da abin ƙira ya haddace bayanan horonsa kuma ya gaza akan sabbin misalai; underfitting shine lokacin da yake da sauqi sosai don kama ainihin tsari.
Muhimman abubuwaTsayawa
Tsare-tsare wani tsari ne na dabaru waɗanda da gangan suke takurawa samfuri don haka gabaɗaya zuwa sabbin bayanai maimakon haddace tsarin horo.
Muhimman abubuwaYada baya
Backpropagation shine algorithm wanda ke ba da damar cibiyar sadarwa ta jijiyoyi suyi koyi daga kurakuran sa ta hanyar ƙididdige ƙimar ƙimar nawa kowane nauyi ya ba da gudummawa ga kuskure.
Muhimman abubuwaSaukowar Gradient
Saukowar gradient ita ce hanyar ingantawa wacce a zahiri ke motsa ma'aunin ƙira zuwa ƙasan kuskure, ƙaramin mataki a lokaci guda.
Muhimman abubuwaAyyukan Asara
Ayyukan asara ita ce lamba ɗaya da ke gaya wa ƙirar yadda kuskuren tsinkayar sa, juya maƙasudin manufa zuwa wani abu na lissafi zai iya ingantawa.
Muhimman abubuwaAyyukan Kunnawa
Ayyukan kunnawa su ne ƙananan ƙofofin da ba na kan layi a cikin kowane neuron waɗanda ke barin hanyoyin sadarwa na jijiyoyi su koyi hadaddun tsarin, lanƙwasa maimakon layi madaidaiciya.
Muhimman abubuwaHanyoyin Sadarwar Jijiya Na Juyin Halitta
Hanyoyin Sadarwar Jijiya na Juyin Halitta (CNNs) sune gine-ginen dokin aiki don fahimtar hotuna.
Muhimman abubuwaCibiyoyin Sadarwar Jijiya Maimaituwa
Cibiyoyin Neural Networks (RNNs) an gina su don sarrafa jeri kamar rubutu, magana, da jerin lokaci.
Muhimman abubuwaGenerative Adversarial Networks
Generative Adversarial Networks (GANs) suna ƙirƙirar sabbin bayanai na gaske ta hanyar haɗa hanyoyin sadarwa guda biyu da juna a cikin gasa.
Ya gama karantawa? Tabbatar da shi.
Check what you learned with a topic quiz, then explore our structured courses or work toward a certificate. Every guide stays free to read.