Recurrent neural networks (RNNs) for sequence modeling Generative adversarial networks (GANs) for image generation Transfer learning and fine-tuning pre-trained models Deploying PyTorch models to ...

We also introduce a multiagent reinforcement learning algorithm to optimize the verification process. In specific, we first propose a verification scheme for the key operations of generative ...

Machine Learning - Giving Computers the Ability to Learn from Data [open dir] Training Machine Learning Algorithms for Classification [open dir] A Tour of Machine Learning Classifiers Using ...

Melanoma is an aggressive kind of skin cancer, coming under dire need of being detected early for effective treatment. The paper proposes a hybrid deep-learning model that combines the principles of ...