deep learning
Deep learning is an artificial intelligence technique that involves training neural networks with multiple layers to learn and recognize complex patterns and features in data. Essentially, it involves feeding large datasets into computer models that mimic the human brain's neural networks, enabling them to make sophisticated predictions and decisions without being explicitly programmed.
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Related Concepts (51)
- adaptive intelligence
- artifical intelligence
- artificial general intelligence
- artificial intelligence and cognition
- artificial intelligence and robotics
- artificial neural networks
- attention mechanisms
- augmented intelligence
- autoencoders
- autonomous systems
- backpropagation
- cognitive computing
- computational intelligence
- computer vision
- convolutional neural networks
- convolutional neural networks (cnn)
- deep reinforcement learning
- explainable ai
- fully connected layers
- generative adversarial networks (gan)
- human-level ai
- human-level intelligence
- image recognition
- inference and forward propagation
- inference in neural networks
- intelligent systems
- large language model
- long short-term memory (lstm)
- long short-term memory (lstm) layers
- machine learning
- machine learning algorithms
- meta-learning
- model quantization
- natural language processing
- networked intelligence
- neural network inference
- neural networks
- object detection
- pattern recognition
- rapid autonomous development
- recurrent neural networks (rnn)
- reinforcement learning
- self-attention
- semi-supervised learning
- sentiment analysis
- speech recognition
- stochastic parrot
- superintelligent ai
- transfer learning
- turing test
- unsupervised learning
Similar Concepts
- adversarial deep learning
- artificial intelligence and concept learning
- brain training
- deep belief networks
- deep learning for language processing
- deep learning models
- interpretable deep learning
- learning intelligence
- lifelong learning
- machine learning and deep learning
- machine learning for decision-making
- machine learning for perception
- machine learning in art
- mastery learning
- robotic learning and adaptation