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Deep Learning

Deep Learning AI: Overcoming Limitations and Shaping a Smarter World

Deep Learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.

Deep learning drives many artificial intelligence (AI) applications and services that automate daily tasks, such as voice-enabled virtual assistants, facial recognition, and personalized recommendations. Deep learning algorithms are designed to improve their performance with time as they process more data.

Some of the key techniques in deep learning include convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and generative adversarial networks (GANs). These techniques have found applications in various domains such as computer vision, natural language processing, speech recognition, and reinforcement learning.

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