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SciELO14d
Detection of rural roads from planet images using convolutional neural networks
The Google Colab platform was used with the python language interpreter to develop the necessary ... where the deconvolution layers amplify the spatial information using the 2*2 max pooling ...
Deep Learning with Yacine on MSN2d
20 Activation Functions in Python for Deep Neural Networks | ELU, ReLU, Leaky ReLU, Sigmoid, Cosine
Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...
GitHub25d
abenelfqih/CNN-from-Scratch---A-Mathematical-and-Practical-Approach
from scratch using Python and NumPy, without relying on deep learning frameworks. It includes a step-by-step explanation of the mathematical foundations of CNNs, covering convolution, ReLU activation, ...
GitHub25d
convolutional-networks
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of ...
IEEE23d
Juan Yin
Asymptotic Results,Average Cost,Continuous-time Process,Convolution Function,Damage Evolution,Effects Of Shocks,Exponential Distribution,Inverse Laplace Transform,Laplace Transform,Law Of Total ...
IEEE25d
Designing reconfigurable large-scale deep learning systems using stochastic computing
In this paper, we present a reconfigurable large-scale deep learning system based on stochastic computing technologies, including the design of the neuron, the convolution function, the ...