You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Here is an article about Using HDF5 with Python. Run the following commands to generate train/test/val dataset at data/{METR-LA,PEMS-BAY}/{train,val,test}.npz. As the ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...

1 Department of Computer Science, University of Mary Washington, Fredericksburg, USA. 2 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, USA. This paper explores ...

With the growing pressures for enhanced service delivery in Nigeria and the challenges of budgetary crises and fiscal shocks, the need for improved budget processes and innovative financial management ...

This dataset is a subset of the full NASDAQ 100 stock dataset used in [1]. It includes 105 days' stock data starting from July 26, 2016 to December 22, 2016. Each day contains 390 data points except ...

Implementation science, although promising to bridge the know–do gap in global health, has inadvertently created new forms of epistemic exclusion in African health systems. In this Viewpoint, we ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

According to Andrew Ng (@AndrewYNg), DeepLearning.AI has launched the PyTorch for Deep Learning Professional Certificate taught by Laurence Moroney (@lmoroney). This three-course program covers core ...