deeplearningmethoden
Deeplearningmethoden, also known as deep learning methods, represent a subset of machine learning techniques that utilize artificial neural networks with multiple layers to learn complex patterns from data. These methods are inspired by the structure and function of the human brain, where interconnected nodes (neurons) process and transmit information. The "deep" in deep learning refers to the numerous layers within these neural networks, allowing for hierarchical feature extraction. Early layers typically learn simple, low-level features, while subsequent layers combine these to represent more abstract and complex concepts.
Key deep learning methods include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. CNNs
The training of deep learning models involves feeding large datasets through the network and adjusting the