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Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
Öneri sistemleri Yemek siparişinden isteğe bağlı videoya ve ses akışından modaya kadar öneri sistemleri günümüzün en popüler uygulamalarından bazılarına güç veriyor. TensorFlow ekosistemindeki açık kaynak kitaplıkları ve araçlarıyla üretime hazır öneri sistemlerini nasıl oluşturabileceğinizi keşfedin.
Öneri sistemleri, uygulamanızdaki kullanıcı etkileşimini artırır ve en çok arzu edilen içeriği sağlayarak kullanıcı deneyimini geliştirir. Modern öneriler, üretimde düşük gecikme süresi elde etmek için genellikle birden fazla aşamaya ayrılan karmaşık sistemlerdir. Alma, sıralama ve potansiyel olarak sıralama sonrası aşamalar yoluyla, ilgisiz öğeler yavaş yavaş geniş bir aday havuzundan filtrelenir ve kullanıcıların etkileşime girme olasılığı en yüksek olan seçeneklerin bir listesi en sonunda sunulur.
Veri hazırlamadan dağıtıma kadar bir öneri sistemi oluşturmanın tüm iş akışını kolaylaştıran, kullanımı kolay bir çerçeve olan TensorFlow Recommenders ile oluşturmaya başlayın.
Modellerinizi eğitmeyi tamamladığınızda, son kullanıcılara öneriler sunmak için bunları üretime dağıtın. TensorFlow Serving, modellerinizi yüksek performanslı çıkarım için üretir. Makine öğrenimi modellerinin verimini en üst düzeye çıkarmayı amaçlar ve dağıtılmış hizmet gerektiren büyük öneri modellerini destekleyebilir.
Google Taraması ScaNN, ölçekte vektör benzerliği aramaya yönelik bir kütüphanedir. En iyi adayların alınmasını hızlandırmak için asimetrik karma ve anizotropik nicemleme gibi son teknoloji ürünü YSA tekniklerinden yararlanır.
TensorFlow Sıralaması TensorFlow Ranking, ölçeklenebilir, sinirsel LTR modelleri geliştirmeye yönelik bir kitaplıktır. Sıralama yardımcı programlarını en üst düzeye çıkarmak amacıyla aday öğeleri sıralamak için ek işlevler sağlar.
TensorFlow TPU Yerleştirme TPUEmbeddding katmanı API'si, Tensör İşleme Birimleri (TPU'lar) üzerinde eğitim ve büyük yerleştirme tablolarının sunulmasını kolaylaştırır.
TensorFlow Önerici Eklentileri
TensorFlow Recommenders Addons, özellikle çevrimiçi öğrenme için yararlı olan dinamik yerleştirme teknolojisinden yararlanan, topluluğun katkıda bulunduğu bir projedir.
TensorFlow Lite cihaz içi öneri TensorFlow Lite, tüm kullanıcı verilerini mobil cihazlarda tutarken düşük gecikme süreli ve yüksek kaliteli öneriler sağlayan bir cihaz üzeri öneri çözümü sağlar.
TensorFlow Federated ile Birleşik Yeniden Yapılanma TensorFlow Federated, birleşik öğrenme ve merkezi olmayan veriler üzerindeki diğer hesaplamalar için bir çerçevedir. Birleşik Yeniden Yapılanma, birleşik öğrenme ortamına matris faktörizasyonunu getirir ve öneriler için kullanıcı gizliliğini daha iyi korur.
TensorFlow Ajanları Haydutları TensorFlow Agents Bandits, öneri motoru ayarında etkili bir şekilde keşfedip yararlanabilen kapsamlı bir haydut algoritmaları kitaplığıdır.
TensorFlow GNN TensorFlow GNN, ağ yapılarına dayalı öğe önerilerini verimli bir şekilde kolaylaştırabilen ve alma ve sıralama modelleriyle birlikte kullanılabilen bir kitaplıktır.
Üretken Yapay Zeka Öneri sistemlerinizi geliştirmek için PaLM API gibi büyük dil modellerini (LLM'ler) nasıl kullanacağınızı öğrenin.
Referans son teknoloji öneri modelleri Tanınmış bir modelin performansını kıyaslamak veya kendi öneri modellerinizi oluşturmak için en iyi uygulamalar için NCF, DLRM ve DCN v2 gibi popüler modellerin resmi TensorFlow uygulamalarına göz atın.
Çevrimiçi video YouTube'un güçlü öneri sistemini sorumlu bir şekilde nasıl oluşturduğunu öğrenin.
E-ticaret Digitec Galaxus'un TFX ve TensorFlow Agent'larla haftada milyonlarca kişiselleştirilmiş haber bültenini nasıl eğitip sunduğunu öğrenin.
Bakkal HarperDB'nin market ürünleri için işbirlikçi filtrelemeye dayalı bir öneri sistemi oluşturmak amacıyla TensorFlow Öneri Araçlarını ve TensorFlow.js'yi nasıl kullandığını öğrenin.
Ses akışı Spotify'ın genişletilebilir bir çevrimdışı simülatör tasarlamak ve çalma listesi önerileri oluşturmak üzere RL Temsilcilerini eğitmek için TensorFlow ekosisteminden nasıl yararlandığını öğrenin.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"İhtiyacım olan bilgiler yok"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Çok karmaşık / çok fazla adım var"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Güncel değil"
},{
"type": "thumb-down",
"id": "translationIssue",
"label":"Çeviri sorunu"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Örnek veya kod sorunu"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Diğer"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Anlaması kolay"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Sorunumu çözdü"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Diğer"
}]