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Definitions pertaining to frame rates, metadata, synthetic data, phenotyping, signals intelligence, FISA Court, Medical Malpractice Litigation, deidentification, anonymization, and EXIF Data.
A multilayer perceptron (MLP) is a deep artificial neural network that is comprised of more than one perceptron and dates back to 1943.
Recurrent Neural Networks are a specific type of artificial neural network that is used to recognize sequential characteristics within a dataset.
Convolution Neural Networks (CNNs) are a class of neural networks that are most commonly used to identify and analyze visual imagery.
5 applications of GANs in business include denoising, text-to-image translation, customer personalization, data augmentation, and industrial design.
Common uses of ANNs in business include facial recognition software, stock market prediction, weather forecasting, healthcare, and signature verification.
Artificial neural networks are defined as computational models that are based on the biological structure and function of the human brain.
Generative Adversarial Networks (GANs) refer to a deep learning approach to creating generative models through the utilization of unsupervised machine learning.
5 applications of deep learning in business include autonomous vehicles, financial fraud detection, facial recognition software, NLP, and fake news detection.
China’s Personal Information Protection Law (‘PIPL’) is a comprehensive data protection law that was enacted in November of 2021.
5 common types of ML techniques include regression analysis, classification, clustering, decision trees, and artificial neural networks.