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Deep learning models automatically extract relevant features from data to classify objects based on learned characteristics, enabling AI systems to recognize patterns and make intelligent decisions.#DeepLearning #NeuralNetworks #AI #MachineLearning #FeatureExtraction
This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs.
Yao Ming, Ph.D. in computer science and engineering at HKUST. My research interests are explainable and interpretable machine learning (or some called XAI), data visualization and visual analytics.
The so-called photonic neural network systems, which are quick and energy-efficient, are particularly beneficial for dealing with huge amounts of data.
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.
