Fundamentals of ML and AI
Deep Learning Fundamentals
Deep learning uses artificial neural networks, which are loosely modeled on how the brain processes information.
Key points
- A neural network is made of nodes organized into layers: an input layer, one or more hidden layers, and an output layer.
- The network learns by adjusting the connections (weights) between nodes as it sees examples, until it can recognize patterns in data it has never seen.
- Computer vision uses deep learning to interpret images and video: image classification, object detection, and image segmentation.
- Natural language processing (NLP) uses deep learning for human language: text classification, sentiment analysis, machine translation, and language generation.