3.使用TensorFlow构建CNN模型 使用creat_CNN函数创建CNN模型,该函数创建卷积层(conv)、ReLU激活函数、最大池化(max pooling)、dropout以及全连接层(full connection,FC),最后一层全连接层输出结果。每一层的输出都是下一层的输入,这就要求相邻两层之间的特征图尺寸大小要一致。此外,对于每个conv、ReLU以及最大池化层...
Section 3 presents the chaos control and learning algorithm for FCNN algorithm. The FCNN is based on the MLP model with the chaotic neurons basing logistic mapping, shown in Figure 2. The chaotic characteristics output [h.sub.i.sup.1] (k), the previous layer output [h.sub.i.sup.2] ...
However, since manual annotation of landmarks is time-consuming, we use the keypoint detection algorithm described in Rühaak et al. (2017) to generate a large number of corresponding keypoints. The final loss is given by(8)L(F,M,y)=D(F,M(y))+αR(y)+βB(y)+γV(y)+δK(y)...
Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network-Salp Swarm Algorithm, doi: http://dx.doi.org/10.3390/en13081879. Google Scholar Awad and Khanna, 2015 Awad M., Khanna R. Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System ...
Without convolutions, a machine learning algorithm would have to learn a separate weight for every cell in a largetensor. For example, a machine learning algorithm training on 2K x 2K images would be forced to find 4M separate weights. Thanks to convolutions, a machine learning algorithm only...
CSC starts by running the trained CNN on an image. This results in a tiled image classifation. Then CCC runs a second phase where the CNN-derived tiled classification is reformed into a lable raster and used to train and run a more shallow machine learning algorithm but only on the image...
with the highest probability. Then we assign the classes to these toxels. This shortcut allows skipping the Viterbi algorithm for numerous toxels, saving a great deal of computational effort. Results In this paper, we utilize an existing tomogram time-series (4D dataset)42, where its ...
we use the Dung Beetle Optimizer algorithm to find the hyperparameters of the CNN-LSTM model, determine the optimal hyperparameters, and check the accuracy of the model. Finally, we compare the proposed model with nine other widely used models. The experimental results show that the model propos...
The overall structure design of the TL-DeCo algorithm is shown in Fig. 5. Download: Download high-res image (666KB) Download: Download full-size image Fig. 5. Overview of the TL-DeCo framework. In self-supervised pre-training, we use the classical structure design of Teacher-Student. The...
We submitted test results to the evaluation server only once for each of the two major algorithm variants (with and without bounding-box regression). 根据PASCAL VOC最佳实践 15,我们在VOC 2007数据集上验证了所有设计和超参数(见 消融研究)。对于VOC 2010-12数据集的...