Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute gradients, update weights, and learn efficiently in this detailed tutorial.

Abstract: With the advancement of manufacturing processes and the ever-increasing demand for system-on-chip (SoC) computations, modern SoCs integrate a myriad of embedded memories, posing significant ...

Companies’ latest return-to-office push is barely noticeable. That’s the point. After waves of RTO mandates yielded mixed results, employers are betting a subtler strategy will be more effective at ...

ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils/ │ ├── voxelization.py │ ├── ...