DECISION support systemsDEEP learningCLASSIFICATIONSKIN cancerCANCER diagnosisSkin cancer diagnosis, particularly melanoma detection, is an important healthcare concern worldwide. This study uses the ISIC2017 dataset to evaluate the performance of three deep learning architectures, VGG16, ResNet...
The classification was performed with a fully connected layer of neural network. The reported accuracies with and without augmentation were 97.94%, and 97.74%, respectively. Goel et al. [38] proposed CNN-ResNet50, and its hyper-parameters were optimized using WOA. It was used to perform ...
PyTorch binary classification can be performed using a variety of model architectures, including simple linear models, such as logistic regression, and complex deep learning architectures, such as convolutional neural networks (CNNs) or transformers. The choice of architecture depends on the specific app...
Using four data sets with differing road context (DS0, DS3-1, DS4-3, and DS4-3), the binary classification between pedestrian and motorcycle riders achieved good results. In DS0, training accuracy is 96.96% while validation accuracy is 81.52%. In DS3-1, training accuracy is 93.17% while ...
Li 等人基于 RetinaNet 和更快的 R-CNN 生成了量化的目标检测神经网络 [12],并证明这些检测器取得了令人满意的性能。Leng 等人将 BNN 应用于不同的任务,并在用于图像分类和目标检测的卷积神经网络以及用于语言模型的递归神经网络上评估了它们的方法 [13]。
Li 等人基于 RetinaNet 和更快的 R-CNN 生成了量化的目标检测神经网络 [12],并证明这些检测器取得了令人满意的性能。Leng 等人将 BNN 应用于不同的任务,并在用于图像分类和目标检测的卷积神经网络以及用于语言模型的递归神经网络上评估了它们的方法 [13]。
This study explores the performance of custom Convolutional Neural Network (CNN) architectures for both binary and multiclass skin disease classification, utilizing datasets sourced from Kaggle and Google. Images of ringworm and healthy skin were used, resized to 224 脳 224 224 imes 224 pixels, and...
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks ECCV2016 http://allenai.org/plato/xnornet 本文介绍了两种二值网络: Binary-Weight-Networks 和 XNOR-Networks,Binary-Weight-Networks 只对滤波器 filters 进行二值化,XNOR-Networks 同时对 滤波器 和滤波器的输入进行二值化,这里的滤...
XNOR-Net ImageNet Classification Using Binary Convolutional Neural Networks 本人想把算法思想实现在mxnet上(不单纯是一个layer),有意愿一起的小伙伴可以联系我,本人qq(邮箱):564326047(@qq.com),或者直接在下面留言。 一、Introduction A. 相关工作 论文中提到了好几种加速DNN的方法,由于小w精力有限,并没有一一...
3. Namely, the proposed network can be divided into two main CNN branches with one of them is dedicated to binary, while the other for multi-class classification. Thus, the two branches result in respective 2D and 7D softmax layers, which are merged in a Support Training Layer (STL). ...