Unverified50% confidenceFactExact time
"Deep Learning" (the "Flower Book") was written in 2016, prior to the publication of the Transformer architecture.
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9/12/2026
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UnverifiedThe Transformer is a deep learning architecture proposed by Google in 2017 in the paper "Attention Is All You Need".71% similarUnverified"Understanding Deep Learning" was published by Simon Prince in 2023, is freely available, and covers modern architectures such as Transformers and diffusion models.68% similarUnverifiedAlexNet在2012年引发深度学习革命，Transformer架构前身的注意力机制论文于2017年首发于顶级会议66% similarUnverifiedThe Deep Learning Flower Book is not suitable as a first introductory book on deep learning and is recommended instead as a reference manual for more advanced learners.64% similarUnverified《Deep Learning with Python》第三版加入了Transformer和生成式模型的相关内容63% similar
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