Convolution Neural Network AlgorithmDecision TreeLevel Management. Machine Learning for SecureOnline Teaching SystemPrivacy-Preserving MobileThe setting of teaching environment is the key factor of teaching emotion recognition, and its superiority directly determines the teaching and learning effect between ...
These structures can be applied to different CNN layers, such as convolution with stride > 1, pooling and deconvolution by exploring flexible feature map processing tile sizes. The proposed algorithm is suitable for both software and hardware implementation. 展开 ...
genetic_algorithm geodesy geometry graphics graphs greedy_methods hashes knapsack linear_algebra linear_programming machine_learning maths matrix networking_flow neural_network activation_functions __init__.py back_propagation_neural_network.py convolution_neural_network.py ...
it necessitates extensive domain knowledge and signal processing techniques to extract appropriate features from raw data that align with a machine learning algorithm. DL methods, such as CNNs and Long Short-Term Memory Neural Networks (LSTM
and interpreting data in a mechanism that imitates the human brain33,34,35. Deep learning can form an abstract high-level representation by combining low-level features to discover the rules of data. Therefore, in this paper, we use deep learning convolution neural network algorithm to extract ...
The frequency domain can also be used to improve the execution time of convolutions. Using theFFTalgorithm, signals can be transformed to the frequency domain, multiplied, and transformed back to the time domain. For signals of large enough size, this can result in a substantial speed increase...
[22] “Face recognition based on MTCNN and FaceNet” Framework of deep cascading with Neural Network Fails to consider surrounding intensity levels and distance between camera and face. Xiao et al. [23] “The Improvement of MTCNN ALGORITHM: Face Recognition with Mask” MTCNN This model does not...
Research on Lung Medical Image based on Convolution Neural Network Algorithm In the field of medical image processing, the convolution neural network (CNN) algorithm in depth learning solves many problems in machine vision.Aiming at the problems of low resolution of medical images and easy misjudgment...
(integration becomes mere multiplication). Convolution in the frequency domain can be faster than in the time domain by using the Fast Fourier Transform (FFT) algorithm. Some of the fastestGPUimplementations of convolutions (for example some implementations in the NVIDIAcuDNNlibrary) currently make ...
Forest optimization algorithm DSOS: Discrete symbiotic organisms search CUK: Cuckoo optimization EVD: Ebola virus disease PDX: Patient-derived tumor xenograft ANN: Artificial neural network PPI: Protein–protein interaction DT: Decision tree BN: Bayesian network CIWO: Chaotic invasive weed ...