Unverified50% confidenceFactExact time
Goodfellow et al.'s 'Deep Learning' (the flower book) is a systematic reference book that, from a linear algebra perspective, treats weights as matrices and biases as vectors, and uses affine transformations to describe a layer of a network uniformly.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDeep Learning (Goodfellow, Bengio, Courville), known as the 'flower book,' systematically covers the mathematical foundations required for deep learning in its first half.75% similarUnverifiedGeometric deep learning was systematically proposed by scholars including Michael Bronstein and Joan Bruna, with the core idea that deep learning architectures can be understood as encoding equivariance to specific symmetry groups.72% similarVerifiedDeepSeek's deep thinking mode is essentially an enhanced implementation of the Chain-of-Thought mechanism.71% similarUnverified在深度学习中，雅可比矩阵的计算是反向传播算法的数学基础，描述梯度如何在网络层间流动71% similarUnverifiedDeepInstructor is an agent framework that redefines research idea evaluation as a reasoning process over structured academic experience.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1011895API
curl https://kongchang.com/api/v1/knowledge/claims/1011895MCP
get_claim(id=1011895)