What is machine learning? A beginner's guide with everyday examples
Machine learning explained from zero: how computers learn patterns from examples, the three main types of learning, and where you already use it every day.
AI Desk3 min read
Machine LearningResearch
The Adam optimizer explained: the algorithm that trains most neural networks
Adam combined momentum with per-parameter learning rates and became the default way to train deep learning models. How it works, why it won and its known pitfalls.
AI Desk4 min read
Machine LearningResearch
Batch normalization explained: the trick that made deep networks easier to train
The 2015 batch normalization paper let networks train faster and deeper by normalizing layer inputs. How it works, why it helps, and what transformers use instead.
AI Desk4 min read
Computer VisionResearch
ResNet explained: the skip connection that let networks go 100+ layers deep
The 2015 ResNet paper solved the degradation problem with residual connections and won ImageNet. How skip connections work and why every transformer uses them.
AI Desk3 min read