Optimizing Small Perception Models on Different Compute Cards for Autonomous Driving

This article shares practical experience training perception‑detection mini‑models on two different compute cards, covering environment setup, technical architecture, common dependency issues, performance‑boosting tricks such as CPU process pools, torch dataloader tuning, NCCL P2P handling, and CPFS storage optimization.

Distributed TrainingModel TrainingPerformance Optimization

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Optimizing Small Perception Models on Different Compute Cards for Autonomous Driving

Bitu Technology

Jul 19, 2018 · Artificial Intelligence

Introduction to Deep Learning: Concepts, Examples, and Learning Resources

This article provides a comprehensive overview of deep learning, covering its definition, fundamental machine‑learning components, illustrative examples such as hot‑dog classification and house‑price prediction, the mathematics of cost functions and gradient descent, back‑propagation via the chain rule, and practical resources and code snippets using Torch.

BackpropagationCode ExamplesNeural Networks

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Introduction to Deep Learning: Concepts, Examples, and Learning Resources