Fully Connected Layer The neurons in the last layer of the feature extractor, including the convolution and pooling layers, are converted into a one-dimensional vector. The layers that come after this process are fully connected layers. Fully connected layer neurons perform the following calculation where 𝑓 is the activation function and M …
Devamı »
Autoencoder neural network is a popular ANN architecture applied mainly in unsupervised learning applications such anomaly detection. The most two applications that Autoencoders are applied for are fraud detection in bank transactions and dimensionality reduction like Principal Component Analysis. In other words, the core function of autoencoders is to teach …
Devamı »
In recent years, many domains of science, business and government use deep learn- ing technology in the world. Deep learning is the field of artificial intelligence and computers can learn many things by using large amounts of data without human involvement. The algorithms of deep learning inspired by the human …
Devamı »
Cognitive computing systems (CCS) simulate human cognition processes, including self-learning, emotional competence, language understanding, social interaction, interpretation, planning, decision-making and problem solving, as they are integrated with environmental perception and action mechanisms. CCS are designed based on interdisciplinary research disciplines including psychology, machine learning, artificial intelligence, signal processing, computer vision …
Devamı »