Improvement of Bidirectional Recurrent Neural Network
用户评论
推荐下载
-
Neural_network chatbot源码
Neural_network-chatbot
8 2021-03-20 -
Incremental constructive ridgelet neural network
In this paper, a new kind of neural network is proposed by combining ridgelet with feedforward neura
10 2021-02-22 -
Recurrentconvolutional neural network for object recognition
Recurrentconvolutional neural network for object recognition
17 2021-02-16 -
Network_to_Network Translation with Conditional Invertible Neural Networks
鉴于现代机器学习模型的计算成本不断增加,我们需要找到重用此类专家模型的新方法,从而利用已在其创建上投入的资源。最近的工作表明,这些庞大模型的强大之处在于它们所学习的表示形式。.. 因此,我们寻求一个可
57 2021-01-24 -
论文笔记A Theoretically Grounded Application of Dropout in Recurrent Neural Networ
这篇论文从贝叶斯论的角度分析了RNN网络的优化过程,并以此为基础提出了一种对RNN有效的dropout方法。它用到了近似变分推断的数学方法,这个我啃了好久还是苦于数学能力看得云里雾里。但还是先把笔记记
8 2021-01-08 -
Deep Learning Recurrent Neural Networks in Python LazyProgrammer2016.pdf
DeepLearningRecurrentNeuralNetworksinPythonLazyProgrammer(2016).pdf
19 2020-02-19 -
9Speech recognition with deep recurrent neural networks.pdf
Recurrentneuralnetworks(RNNs)areapowerfulmodelforsequentialdata.End-to-endtrainingmethodssuchasConn
21 2020-02-29 -
Improved Recurrent Neural Networks for Session_based Recommendations.pdf
ImprovedRecurrentNeuralNetworksforSession-basedRecommendations
32 2019-07-06 -
2016_Session based Recommendations with Recurrent Neural Networks.pdf
SessionbasedRecommendationswithRecurrentNeuralNetworks
22 2019-07-06 -
Deep Neural Network Training without Multiplications
深度神经网络真的需要乘法吗?在这里,我们建议仅使用整数加法指令代替浮点乘法指令,将两个IEEE754浮点数相加。.. 我们证明,可以使用此操作以具有竞争力的分类准确性来训练ResNet。我们的建议不需
47 2021-01-24
暂无评论