Expired50% confidenceFactExact time
Between 2012 and 2017, due to the insufficient user-friendliness of existing frameworks, many companies chose to develop their own internal deep learning frameworks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
PyTorch Beginner's Guide: A Complete Analysis of Deep Learning Framework Selection and Evolution
bilibilipytorch教程6/5/2026
Related Claims
Unverified一位自称17岁的开发者从零用C++构建了一个完整的深度学习框架Forge，底层不依赖任何现成的深度学习库67% similarUnverified深度学习中突破性的模型架构与训练技巧多为实践先行、理论解释滞后数年67% similarUnverifiedDeepLearning.AI的深度学习专项及后续NLP、CV专项长期被学习社区视为高质量选择65% similarUnverifiedGeneral-purpose deep learning frameworks carry abstraction layers and dependencies that are redundant for specific applications because they aim to cover as many use cases as possible65% similarUnverified2012年深度学习革命以来，几乎所有主流AI框架都选择Python作为主要接口语言65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/53274API
curl https://kongchang.com/api/v1/knowledge/claims/53274MCP
get_claim(id=53274)