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YÜZ TANIMA SİSTEMLERİNİN YANILTILMASINA KARŞI BİR YÖNTEM: YÜZ VİDEOLARINDA NABIZ TESPİTİ İLE CANLILIK DOĞRULAMASI Günümüzde kimlik saptama amaçlı kullanılan biyometrik teknolojiler, güvenlik, erişim, kontrol, takip gibi alanlarda aktif olarak rol almaktadır. Bu teknolojilerden biri olan yüz tanıma sistemi, diğer biyometrik sistemlere göre temassızlık ve günlük hayatımıza yerleşmiş bulunan düşük maliyetli […]
Doğrultulmuş lineer birim (rectified linear unit- RELU) doğrusal olmayan bir fonksiyondur. ReLU fonksiyonu negatif girdiler için 0 değerini alırken, x pozitif girdiler için x değerini almaktadır. Python kodlaması aşağıdaki gibi olabilir. def relu(x): return np.maximum(0, x)
Neural network architectures are most often conceptually designed and described in visual terms, but are implemented by writing error-prone code. PrototypeML is a machine learning development environment that bridges the gap between the design and development processes: it provides a highly intuitive visual neural network design interface that supports the […]
The recent emergence of machine learning has given rise to hundreds of different frameworks, so why would you use Libra? Here’s why libra outperforms all these other alternatives. Libra prioritizes ease of use and ergonomics. Libra is a machine learning API designed for non-technical users. This means that it assumes […]
I use Amazon as a cloud service in my new Java/Kotlin projects. I couldn’t easily find a complete list of AWS modules. I was able to create this shortlist as a result of the reviews. Compute EC2 Virtual Private Servers Lightsail Amazon’s hosting provider (VPS, DNS, storage) Lambda Functions […]
Softmax fonksiyonu çoklu sınıflandırma problemleri için kullanılır. Verilen her bir girdinin bir sınıfa ait olma olasılığını gösteren [0,1] arası çıktılar üretmektedir. Python implemantasyonu aşağıdaki gibi olabilir. #softmax functiondef softmax(X): expo = np.exp(X) expo_sum = np.sum(np.exp(X)) return expo/expo_sum
Through this series so far you’ve been learning the basics of NLP using TensorFlow. You saw how to tokenize and then sequence text, preparing it to train neural networks. You saw how sentiment in text can be represented with embeddings, and how the semantics of text over long stretches might […]
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence. Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML […]
What is Amazon CodeGuru? It is a machine-learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific guidance to fix or improve your code. Leveraging […]
Powered by AI: Instagram’s Explore recommender system Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges […]