第 1 节 · 基础

AI、机器学习与深度学习

AI 是广泛领域。机器学习从数据中学习模式；深度学习使用多层神经网络。一个有用产品是围绕模型构建的更大系统。

初级20 分钟

学完后你可以

Distinguish AI, machine learning, deep learning, a model and a complete system.
Recognize supervised, self-supervised and reinforcement learning.
Choose a baseline before reaching for a large model.

Vue interactive

Explorez cette leçon à votre rythme

Choisissez une vue. Le détail n’apparaît que lorsque vous le demandez.

Interaction locale · aucune donnée envoyée

Concept 1 / 5

AI is a field, not one technology

AI includes rules, search, planning, optimization, probabilistic methods, machine learning and hybrids. The simplest adequate method is often the most reliable.

常见混淆

Afficher +

Calling every automation “AI” hides whether the system follows rules, searches, predicts or learns.
A benchmark score does not guarantee performance on your users, language, data or failure modes.
AGI and ASI are debated capability goals, not proven properties of current general-purpose models.

关键词

Afficher +

AI
algorithm
model
data
parameter
training
loss
gradient
generalization
overfitting

一手与权威来源

Voir les sources +

Deep Learning bookOpen reference by Goodfellow, Bengio and Courville on machine learning and deep learning foundations.NIST AI Risk Management FrameworkAuthoritative framework for governing, mapping, measuring and managing AI risks.

Aura 学院

第 1 节 · 基础

AI、机器学习与深度学习

AI 是广泛领域。机器学习从数据中学习模式；深度学习使用多层神经网络。一个有用产品是围绕模型构建的更大系统。

初级20 分钟

学完后你可以

Distinguish AI, machine learning, deep learning, a model and a complete system.
Recognize supervised, self-supervised and reinforcement learning.
Choose a baseline before reaching for a large model.

Vue interactive

Explorez cette leçon à votre rythme

Choisissez une vue. Le détail n’apparaît que lorsque vous le demandez.

Interaction locale · aucune donnée envoyée

Concept 1 / 5

AI is a field, not one technology

AI includes rules, search, planning, optimization, probabilistic methods, machine learning and hybrids. The simplest adequate method is often the most reliable.

常见混淆

Afficher +

Calling every automation “AI” hides whether the system follows rules, searches, predicts or learns.
A benchmark score does not guarantee performance on your users, language, data or failure modes.
AGI and ASI are debated capability goals, not proven properties of current general-purpose models.

关键词

Afficher +

AI
algorithm
model
data
parameter
training
loss
gradient
generalization
overfitting

一手与权威来源

Voir les sources +