GitHub6 天
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in ...
To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.
GitHub5 天
Human activity recognition using Recurrent Neural Nets(RNN), LSTM and Tensorflow on Smartphones
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 ...
图灵奖得主Yoshua Bengio新作：Were RNNs All We Needed?
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 ...
腾讯网5 天
昔日王者RNN模型卷土重来，欲与Transformer一较高下
当年Jürgen ...
Oil12 天
ML, hybrid risk models predict stuck pipe
A real-time drilled lithology proxy, such as a gamma ray overlay or ROP. Fuzzy C-Means, long short-term memory (LSTM) RNN, ...
如何掌握AI技术的核心要素
综上所述，掌握AI技术的核心要素需要深入理解算法、有效管理和利用数据、提升计算能力、掌握关键技术以及持续学习和实践。通过这些努力，可以逐步提高自己的AI技术能力，为未来的职业发展打下坚实的基础。 返回搜狐，查看更多 ...
Scientific Research Publishing7 天
Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction ()
Pegkou Christofi, V. and Wang, X.D. (2024) Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction.
IEEE23 天
Joint Vehicle Connection and Beamforming Optimiziation in Digital-Twin-Assisted Integrated ...
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 ...