In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Over the years conventional neural networks has shown state-of-art performance on many
problems. However, their performance on recognition system is still not widely accepted in …

When investing in the financial market, determining a trading signal that can fulfill the
financial performance demands of an investor is a difficult task and a very popular research …

In machine learning, generative models are used to create data samples that mimic the
characteristics of the training data. Generative adversarial networks (GANs) are neural …

Deep neural networks enjoy high interest and have become the state-of-art methods in
many fields of machine learning recently. Still, there is no easy way for a choice of network …

Deep Learning (DL) is currently very popular because of its similarity to the hierarchical
architecture of human brain with multiple levels of abstraction. DL has many parameters that …

Robot object recognition and gras** is an important research area in robotics. Recently,
deep learning is gaining popularity as a powerful mechanism for object recognition. Deep …

Deep neural networks have become the state-ofart methods in many fields of machine
learning recently. Still, there is no easy way how to choose a network architecture which can …

Due to many successful practical applications, deep neural networks and convolutional
networks have become the state-of-art machine learning methods recently. The choice of …

In numerous industrial applications where robot object recognition and gras** are the
primary concern as the most effective and reliable object sorting policy. Deep Learning …