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    Derin öğrenme

    Makine Öğrenme Algoritması
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    Yazeka

    Arama sonuçlarına dayanarak oluşturuldu

    Makine öğrenme algoritması, verilerden öğrenen ve tahminler yapan yapay zeka yöntemleridir. Derin öğrenme ise sinir ağları kullanarak karmaşık veri işleme ve yüksek performans sağlayan bir alt alandır.12

    Temel fark, derin öğrenmenin daha fazla veri ve hesaplama gücü gerektirmesidir. Makine öğrenimi küçük verilerle çalışırken, derin öğrenme büyük veri setlerinde üstün sonuçlar verir.13

    Derin öğrenme, görüntü tanıma, doğal dil işleme gibi karmaşık problemlerde kullanılır. Makine öğrenmesi ise sınıflandırma ve öneri sistemleri gibi yapılandırılmış görevlerde etkilidir.24

    patika.dev1
    tirendazakademi.medium.com2
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    İlgili gündem

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    cnnturk.com5 Ağustos
    İnsan düşüncelerini yalnızca beyin aktivitelerinden yola çıkarak yazılı metne dönüştürmeyi başaran bir yapay zeka sistemi geliştirildi. Derin öğrenme algoritmalarıyla desteklenen sistem, bir başlık aracılığıyla beyin sinyallerini analiz ediyor ve kullanıcının ne düşündüğünü yüksek doğrulukla metne çeviriyor.
    tgrthaber.com16 Haziran
    Yanıt, yapay zeka tarafından internetteki kaynaklara dayanarak oluşturulmuştur. Hatalar içerebilir.
    Yazeka hakkındatr.wikipedia.org
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