Deep learning explained in simple terms—neural networks with multiple layers, how training works, and where deep learning is used in vision, language, generative AI, and other fields.
Start Here: What Is Deep Learning? A Beginner’s Guide →
Deep learning models do not simply “get smarter” each time they see data. They are trained through a controlled loop: process a batch, measure a loss, compute gradients, update parameters, and repeat—then evaluate on data that was not used for those updates. This beginner-friendly Lesson 9 explains that complete workflow, from the first training batch
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Deep learning and machine learning are not separate competing fields. Deep learning is a subset of machine learning that uses multilayer neural networks. The practical question is therefore not usually “machine learning or deep learning?” It is whether a particular problem benefits from a deep neural-network approach or from another machine-learning method. Last reviewed and
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Deep learning is a branch of machine learning built around neural networks with multiple layers of learned representations. It is responsible for many of the advances behind modern computer vision, speech recognition, language models, generative AI, and multimodal systems. The word deep refers to the use of multiple computational layers—not to a system having deeper
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A neural network is a machine-learning model built from layers of connected computational units. These units transform numerical inputs using learned weights, biases, and nonlinear functions so the network can approximate useful relationships in data. Google’s current Machine Learning Glossary provides a useful technical reference for neural-network, neuron, activation-function, and backpropagation terminology. Neural networks power
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Generative Pre-trained Transformers (GPT) have transformed the field of artificial intelligence (AI), especially in how computers handle human language. Created by OpenAI, GPT models can understand and generate text that sounds like it was written by a person. 1. What Are Generative Pre-trained Transformers (GPT)? Definition and Purpose Generative Pre-trained Transformers (GPT) are advanced AI
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