Transformer Explainer是为非专业人士设计的一款交互式可视化工具,你可以通过GPT-2模型完成文本生成任务来学习Transformer. 项目地址 源代码:https://github.com/poloclub/transformer-explainer 线上DEMO:Transformer Explainer: LLM Transformer Model Visually Explained (poloclub.github.io) 论文地址:https://arxiv.org/...
ModuleList( [EncoderLayer(enc_dim, num_heads, dff, dropout_posffn, dropout_attn) for _ in range(num_layers)] ) def forward(self, X, X_lens, mask=None): # add position embedding batch_size, seq_len, d_model = X.shape out = X + self.pos_emb(torch.arange(seq_len, device=X.de...
Transformer-XL presents state-of-the-art results for language modeling on several different datasets (big/small, characters/words, etc). Its combination of two prominent concepts of deep learning — recurrence and attention — allows the model to learn long-term dependencies...
Originating from a 2017 research paper by Google, transformer models are one of the most recent and influential developments in the Machine Learning field. The first Transformer model was explained in the influential paper"Attention is All You Need. ...
Generative AI explained Which also includes: 8 top generative AI tool categories for 2025 Will AI replace jobs? 17 job types that might be affected 19 of the best large language models in 2024 Virtually all applications that use natural language processing (NLP) now use transformers under the ...
https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained 但注意到这是一个过于简化的例子。更现实的情况是处理一个句子。例如,输入“je suis étudiant”并期望输出是“i am a student”。那我们就希望我们的模型能够成功地在这些情况下输出概率分布: ...
https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained 但注意到这是一个过于简化的例子。更现实的情况是处理一个句子。例如,输入“je suis étudiant”并期望输出是“i am a student”。那我们就希望我们的模型能够成功地在这些情况下输出概率分布: ...
https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained 但注意到这是一个过于简化的例子。更现实的情况是处理一个句子。例如,输入“je suis étudiant”并期望输出是“i am a student”。那我们就希望我们的模型能够成功地在这些情况下输出概率分布: ...
https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained 但注意到这是一个过于简化的例子。更现实的情况是处理一个句子。例如,输入“je suis étudiant”并期望输出是“i am a student”。那我们就希望我们的模型能够成功地在这些情况下...
In addition, to explain what the trained model had actually learned, the Grad-CAM technique explained above was applied. Various test images were selected randomly to generate the corresponding heatmap from the trained model using the Grad-CAM approach. In this case, the multilayer perceptron ...