This method is used to train deep neural networks i.e. networks with more than one hidden layer. It is equivalent to automatic differentiation in reverse accumulation mode. It requires the derivative ...

Convolutional Neural Networks has been playing a significant role in many applications including surveillance, object detection, object tracking, etc. Extensive research is recorded for face ...

A human face comprises a very basic set of features, such as eyes, nose, and mouth. Facial recognition technology learns what a face is and how it looks. This is done by using deep neural network & ...

In deep learning, Convolutional Neural Network (CNN) is at the center of spectacular advances that mixes Artificial Neural Network (ANN) and up to date deep learning strategies. It has been used ...

Lots of Face recognition technology has seen significant advancements in these years. It offers many applications such as in security systems, surveillance, and biometric authentication. With all ...

More information: Naser Zaeri et al, Resilient recognition system for degraded thermal images using convolutional neural networks, International Journal of Information and Communication Technology ...

The book is a clinic on how to code in Python and use Python libraries to create neural networks. Find the book here. Hands-on neural networks. The authors of the book are Leonardo De Marchi and Laura ...

Someone inputs real audio or video data into intelligent algorithms, known as neural networks, ... Consider using facial recognition systems to distinguish between real and forged facial imprints.