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Deep Learning with Yacine on MSN1d
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, ...
The New York Times25d
Trump Executive Order Restricts ‘Gain of Function’ Research on Pathogens
For over a decade, scientists have debated the risks and benefits of so-called “gain of function” research. They’ve long tinkered with viruses and bacteria to endow them with new functions ...
IEEE1mon
Advancing Neural Network Performance with Probabilistic Computing for ReLU Function
This paper presents the design of a 2 × 1 multiplexer, a two-input non-imply logic gate (AB), and a ReLU activation function using the Hamiltonian ... the proposed approach results the design with a ...
Semiconductor Engineering1mon
Implementing AI Activation Functions
The process appears to be at least partially empirical, and over time, different functions have risen to the fore. ReLU turned out to work pretty well in early models, and it’s still popular now. It’s ...
Frontiers2y
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Among different graph representation techniques ... Another difference is the activation functions we used in LeNet are ReLU functions, except for the ultimate layer, which uses a softmax function in ...
IEEE2y
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Abstract: Previous work has shown that a neural network with the rectified linear unit (ReLU) activation function leads to a convex polyhedral decomposition of the input space. These decompositions ...
The Nation Newspaper2y
On Erelu Pearl Ogbulu’s birthday soiree
Many who are not familiar with Dr. Pearl Chidinma Ogbulu the Erelu Okin of Orile-Kemta in Ogun State would readily conclude that she is a controversial person especially with the incident that ...