What are some of the ongoing efforts to establish ethical guidelines and best practices for AI research and development?

May 4, 2021 ... This work focuses on the use of different course of action to train the deep neural network models. A useful way of thinking about model ... May 12, 2022 ... Comments94 · Day 1- Live Deep Learning Community Session · Day 3- Optimizers And ANN Implementation| Live Deep Learning Community Session. Nov 28, 2022 ... In this study, different deep CNN models with multiple machine learning classifiers are investigated for monkeypox disease diagnosis using ... A deep neural network (DNN) is an artificial neural network with multiple hidden layers of units between the input and output layers. Mar 25, 2025 ... We introduce CNN-TumorNet, an innovative method for brain tumor classification utilizing a deep convolutional neural network (CNN) for the ... Augmented graph representations are further input to a custom CNN deep learning architecture with a split of 70% train, 10% validation and 20% test ... Jan 23, 2023 ... Comparing the performance of various CNNs and machine learning methods in diagnosing three types of brain tumors revealed that the 2D CNN ... Jul 19, 2021 ... To learn how to train your first CNN with PyTorch, just keep reading. CNNs are a type of deep learning algorithm that can analyze and extract ... Apr 12, 2023 ... This paper proposes a machine learning methodology to detect MCI and AD from qEEG time-frequency (TF) images of the subjects in an eyes-closed resting state ( ... Deep Learning · Transformer Explainer · exBERT · BertViz · CNN Explainer · Play with GANs in the Browser · ConvNet Playground · Distill: Exploring Neural Networks with ...