News

Visual Studio Magazine14d
Microsoft Busts the 'Myth of AI/ML and Java'
Microsoft, contradicting beliefs of Java developers responding to a survey, said they don't need to learn AI, master machine ...
IEEE4d
A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM
This study aimed to determine how certain Key Performance Indicators (KPIs) based on student interactions with Blackboard helped to forecast the learning outcomes of students. A mixed-methods study ...
IEEE23d
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility
We primarily leverage advantage actor-critic (A2C), one typical deep reinforcement learning (DRL) algorithm ... we further incorporate the long short-term memory (LSTM) into A2C, and put forward an ...
The Lancet19d
FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study
aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...
GitHub3d
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow.
To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.