This research study proposes a novel method for classifying malware using opcode sequences extracted from Windows files. Deep learning models such as RNN, LSTM, GRU, and a hybrid CNN-LSTM architecture ...

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

Basic Machine Learning and Deep Learning. Contribute to eanexe/Basic-Machine-Learning-and-Deep-Learning development by creating an account on GitHub.

Scripts from Coursera Deep learning specialization delivered by Andrew Ng The specialization goes through core concepts of deep learning, building from the basic forward and backward propagation, to ...

Software developer always strives for quality of the software as it tends to be more robust and easier to maintain. Code smells play as a hinder to the quality of the software as they are the surface ...

Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a ...