Deep Learning is a subset of machine learning that focuses on training artificial neural networks to automatically learn to perform complex tasks without being explicitly programmed. These neural networks are designed to mimic the human brain’s structure and function, consisting of multiple layers of interconnected nodes called neurons.
Deep learning algorithms can automatically learn to represent and process data by training on vast amounts of labeled data. They are particularly effective at tasks such as image and speech recognition, natural language processing, and playing games. Some common deep learning architectures include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Deep Belief Networks (DBNs).
Deep learning has enabled significant advancements in various fields, including computer vision, natural language processing, speech recognition, and robotics. Some popular deep learning frameworks include TensorFlow, PyTorch, and Keras.
