… Through the testing of four regression-oriented data sets, we found: 1) … neural network
algorithms in accuracy and interpretability, as well as LSTM, DBN and other deep neural network …

… speaker embed- dings from a deep neural network (DNN) for text-… is consistent with both short
and long testing utterances. … Therefore, there may be a mismatch between training and test-…

… Abstract: A novel time-span input neural network was developed to accurately predict the …
neural network inputs. An external testing set was introduced to objectively evaluate the neural …

… deep learning method. Proposed model is based on 3D Convolution Neural Network, the
established network … Overall flow chart of training and testing model 图6. 模型训练与测试总体…

… Gamma test method was used to optimize the input … (LSTM) deep learning neural network
to simulate nonlinear, … by integrating LSTM neural network and three deep learning auxiliary …

… put forward, a deep neural network model was established to … : the accuracy of the deep
neural network model established … : the results of the development and testing[C]. St. Petersburg…

… testing the security of the visual perception module of autonomous driving, we design and
implement a scene-driven security testing … testing framework for deep neural networks[C]//Proc …

… neural networks, long-short term memory neural networks and neural networks with different
… Finally, we discuss the sleep staging study and believe that deep neural network will be the …

… Deep learning stack machine model in automatic encoding (… , and convolutional neural
network (Convolutional Neural Network, … Class labels and train-test distribution of samples for the …

… 卷积神经网络(convolutional neural network,CNN)作为深度学习… 网络(1-dimensional
convolutional neural network,1-DCNN). … Crack mechanism and field test of the metro safety …