… With an ensemble of three residual and one Inception-v4 networks, we achieve 3.08% top-5 …
For that purpose, we evaluated a new version named Inceptionv4 which has a more uniform …

… on the Inception-v4 model and has made several improvements. The improved Inception-v4 …
Kernel Network (SKNet) into the Inception-v4 network, and adjusts the network structure to …

… neural networks modelling inception V3, inception V4, and a modified … The training results
showed that inception V4 and MV4 with … is almost comparable to inception V4 and MV4 (color) …

… Modified Inception-v4 We extend the design of inception-v4 but add a residual connection
to … The modified inception-v4 architecture is shown in figure 1 and consists of the following …

… We present an adaptation of the deep convolutional network Inception-v4 tailored to solving
bioacoustic classification problems. Bird sound classification was treated as if it were an …

… So, using the CBIS-DDSM (Curated Breast Imaging Subset of DDSM) dataset [27], this
research provides a novel hybrid approach CNN-Inception-V4 for classifying breast cancer as …

… According to the regular CNN-based model detailed in Table 4, Configuration 1 of the model
without using the Inception-v4 technique in CNN contains of 6 convolution layers, 6 ReLU …

… This paper proposes a new deep learning architecture inception v4 to automatically detect
COVID-19 using the chart X-ray images. The proposed methodology provided improved …

… In this paper, the AlexNet structure is combined with the inception-V4 structure to take
both cons of those two structures. The Inception-V4 module is added based on the AlexNet …

… Evaluation of the performance of the proposed XRC model integrated with inception V4
was discussed in this section. The performance measures that will be analysed are specified. …