Back to feeds
Pulakit Bararia
Stealth • 6h
How AI Works 1. Neural Networks – AI’s Brain AI’s neural networks consist of three layers: Input Layer: Takes in raw data (e.g., an image). Hidden Layers: Process data to find patterns (e.g., detecting edges, shapes). Output Layer: Produces the final answer (e.g., "This is a dog"). Each neuron in the network applies mathematical functions and passes results forward 2. How AI Learns AI improves over time using two earning methods Supervised Learning: AI is trained with labeled data (e.g., learning to recognize cats and dogs). Unsupervised Learning: AI finds patterns in unlabeled data (e.g., grouping similar customer behaviors). AI adjusts its internal settings through backpropagation, fixing mistakes over time. 3. AI’s Decision-Making & Predictions Example: A self-driving car recognizes a stop sign by: 1. Processing images from cameras. 2. Comparing them with its training data. 3. Predicting if it’s a stop sign. "This is an AI-generated summary of a 3,000-word article."
Replies (1)
More like this
Recommendations from Medial
Download the medial app to read full posts, comements and news.