{"id":76,"date":"2025-08-05T14:28:37","date_gmt":"2025-08-05T14:28:37","guid":{"rendered":"https:\/\/learn.rantissi.my.id\/?p=76"},"modified":"2025-08-05T14:28:37","modified_gmt":"2025-08-05T14:28:37","slug":"deep-learning-otak-dari-ai-modern","status":"publish","type":"post","link":"https:\/\/learn.rantissi.my.id\/index.php\/2025\/08\/05\/deep-learning-otak-dari-ai-modern\/","title":{"rendered":"Deep Learning \u2014 Otak dari AI Modern"},"content":{"rendered":"\n

Apa itu Deep Learning<\/em>?<\/h4>\n\n\n\n

Deep Learning<\/strong> adalah bagian dari Machine Learning<\/em>, tapi jauh lebih kuat dan canggih<\/strong>.
Disebut \u201cdeep\u201d karena memakai banyak lapisan (layer)<\/strong> dalam pemrosesannya \u2014 mirip seperti otak manusia<\/strong> yang punya banyak jaringan saraf.<\/p>\n\n\n\n

\n

Kalau Machine Learning itu seperti \u201canak SD yang belajar dari guru\u201d, maka Deep Learning itu seperti \u201canak SMA yang bisa belajar sendiri dari banyak sumber & pengalaman\u201d.<\/p>\n<\/blockquote>\n\n\n\n

\n\n\n\n

Contoh sehari-hari yang pakai Deep Learning:<\/h4>\n\n\n\n
    \n
  • Aplikasi\u00a0Google Translate<\/strong>\u00a0yang bisa menerjemahkan kalimat lengkap<\/li>\n\n\n\n
  • Fitur\u00a0face unlock<\/strong>\u00a0di HP kamu<\/li>\n\n\n\n
  • Mobil Tesla yang bisa\u00a0nyetir sendiri<\/strong><\/li>\n\n\n\n
  • ChatGPT<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    Cara kerjanya:<\/h4>\n\n\n\n

    Deep Learning menggunakan yang namanya Artificial Neural Network (ANN)<\/strong> \u2192 jaringan buatan yang meniru cara kerja otak manusia<\/strong>.<\/p>\n\n\n\n

    Setiap jaringan punya:<\/p>\n\n\n\n

      \n
    • Input layer<\/strong>\u00a0\u2192 tempat data masuk (misalnya: gambar)<\/li>\n\n\n\n
    • Hidden layer<\/strong>\u00a0\u2192 tempat AI belajar dan mencari pola tersembunyi<\/li>\n\n\n\n
    • Output layer<\/strong>\u00a0\u2192 hasil akhirnya (misalnya: ini gambar kucing atau anjing?)<\/li>\n<\/ul>\n\n\n\n

      Jumlah \u201chidden layer\u201d<\/strong> bisa puluhan, bahkan ratusan \u2014 itu kenapa disebut \u201cdeep\u201d.<\/p>\n\n\n\n

      \n\n\n\n

      Ilustrasi singkat:<\/h4>\n\n\n\n

      Misalnya kamu kasih AI gambar kucing<\/strong>. Maka:<\/p>\n\n\n\n

        \n
      1. Lapisan pertama mengenali\u00a0garis<\/strong><\/li>\n\n\n\n
      2. Lapisan kedua mengenali\u00a0bentuk telinga<\/strong><\/li>\n\n\n\n
      3. Lapisan ketiga mengenali\u00a0muka kucing<\/strong><\/li>\n\n\n\n
      4. Sampai akhirnya, AI menyimpulkan:\u00a0\u201cAh, ini kucing!\u201d<\/strong><\/li>\n<\/ol>\n\n\n\n
        \n\n\n\n

        Kenapa Deep Learning powerful?<\/h4>\n\n\n\n
          \n
        • Bisa mengolah\u00a0data yang besar banget<\/strong>\u00a0(gambar, suara, video)<\/li>\n\n\n\n
        • Bisa menemukan pola\u00a0yang manusia pun sulit lihat<\/strong><\/li>\n\n\n\n
        • Bisa\u00a0belajar sendiri<\/strong>\u00a0tanpa bantuan manusia terus-menerus<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          Kesimpulan:<\/h3>\n\n\n\n

          Deep Learning = Mesin belajar seperti otak manusia \u2192 semakin banyak pengalaman (data), semakin pintar!
          Itulah sebabnya banyak teknologi AI modern sekarang dibangun dengan Deep Learning<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Apa itu Deep Learning? Deep Learning adalah bagian dari Machine Learning, tapi jauh lebih kuat dan canggih.Disebut \u201cdeep\u201d karena memakai banyak lapisan (layer) dalam pemrosesannya \u2014 mirip seperti otak manusia yang punya banyak jaringan saraf. Kalau Machine Learning itu seperti \u201canak SD yang belajar dari guru\u201d, maka Deep Learning itu seperti \u201canak SMA yang bisa belajar sendiri dari banyak sumber & pengalaman\u201d. Contoh…<\/p>\n","protected":false},"author":1,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-76","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/76","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/comments?post=76"}],"version-history":[{"count":1,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/76\/revisions"}],"predecessor-version":[{"id":77,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/76\/revisions\/77"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/media\/18"}],"wp:attachment":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/media?parent=76"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/categories?post=76"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/tags?post=76"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}