A FACE RECOGNITION ALGORITHM BASED ON CONVOLUTIONAL NEURAL NETWORK

When it comes to end-to-end structure-based drug design we have shown that neural networks can achieve this goal and according to QSAR and virtual screening methods generate

The LSTM neural network produces accurate predictions of the fluctuations of the data series based on cycle times and filtration flux.... The feed forward network makes

(ii) Classify by means of a local machine those patterns rejected by the global learning

Neural style, convolutional network, gradient descent, content and style features, backpropaga- tion, machine learning, VGG16,

We study the emerging collective dynamics of a neural network model that emits and recognizes neural signatures with different network topolo- gies in order to assess the capacity of

Due to this, the design of the proposed neural network architecture is based on learning structures and focused on non-linear problems, such as the mentioned temperature

2 Neural Model Structure: Self-organizing and Fast Mapping The proposed architecture is based on two interconnected neural models that se- quentially project the 3D final

The quality factors and coupling coefficients needed as training and testing sets for both boxes were computed using the neural network method described in Ref.. In this method,