Options for training deep learning neural network - MATLAB trainingOptions
Can You Close the Performance Gap Between GPU and CPU for Deep Learning Models? - Deci
Neural networks and deep learning
Chip Design with Deep Reinforcement Learning – Google AI Blog
13.7. Parameter Servers — Dive into Deep Learning 1.0.0-beta0 documentation
Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
PyTorch-Direct: Introducing Deep Learning Framework with GPU-Centric Data Access for Faster Large GNN Training | NVIDIA On-Demand
DeepMind, Oxford U, IDSIA, Mila & Purdue U's General Neural Algorithmic Learner Matches Task-Specific Expert Performance | Synced
Frontiers | Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems
Hardware Recommendations for Machine Learning / AI | Puget Systems
Distributed Training: Guide for Data Scientists - neptune.ai
Make Every feature Binary: A 135B parameter sparse neural network for massively improved search relevance - Microsoft Research
Scalable multi-node deep learning training using GPUs in the AWS Cloud | AWS Machine Learning Blog
Binarized Neural Networks: An Overview | by Wilson Wang | Towards Data Science
CPU, GPU, and TPU for fast computing in machine learning and neural networks
Brian2GeNN: accelerating spiking neural network simulations with graphics hardware | Scientific Reports
Building a Better Deep Learning Accelerator - Expedera
Neural Magic's sparsity, Nvidia's Hopper, and Alibaba's network among firsts in latest MLPerf AI benchmarks | ZDNET
In a Nutshell: Neural Networks – The Beauty of Machine Learning
CPU vs GPU in Machine Learning Algorithms: Which is Better?
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Multi-Layer Perceptron (MLP) is a fully connected hierarchical neural... | Download Scientific Diagram
Neural network - Wikipedia
CPU vs. GPU for Machine Learning | Pure Storage Blog
