To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model for end-to-end ...

正如论文名字所示，他们将注意力机制重新诠释为一种 RNN，引入了一种基于并行前缀扫描（prefix scan）算法的新的注意力公式，该公式能够高效地计算注意力的多对多（many-to-many）RNN 输出。基于新公式的模块 Aaren，不仅可以像 ...

当年Jürgen ...

A real-time drilled lithology proxy, such as a gamma ray overlay or ROP. Fuzzy C-Means, long short-term memory (LSTM) RNN, ...

Pegkou Christofi, V. and Wang, X.D. (2024) Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction.

The optimized results are then transferred back to the real space for ISAC applications. Recognizing the computational complexity of the greedy and heuristic algorithms, a bidirectional long ...

Natural Language Processing (NLP) is a cornerstone of modern data science, offering the ability to analyze and understand ...