Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs - Qualcomm Developer Network
Getting started — ElcoreNN SDK documentation
Keras: Deep Learning Library for Python | PPT
GitHub - kpot/avalanche: Avalanche - OpenCL deep learning framework with a backend for Keras
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems
Machine Learning at the Edge!. Getting Machine Learning/image… | by Peter Gaston | Towards Data Science
Low GPU usage by Keras / Tensorflow? - Stack Overflow
Evaluating PlaidML and GPU Support for Deep Learning on a Windows 10 Notebook | by franky | DataDrivenInvestor
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs - Qualcomm Developer Network
Running TensorFlow Stable Diffusion on Intel® Arc™ GPUs
OpenCL - OpenCV
Compiling Machine Learning to WASM and WebGPU with Apache TVM
The CNN2Gate overall architecture comprising a front-end parser (Open... | Download Scientific Diagram
Applied Sciences | Free Full-Text | CitiusSynapse: A Deep Learning Framework for Embedded Systems
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
Hardware for Deep Learning. Part 3: GPU | by Grigory Sapunov | Intento
Keras: Fast Neural Network Experimentation
My GAN deep neural network that is learning how to write handwritten digits, running on AMD
Nvidia - Part 3: Beyond GPUs, Software Moat, and Competition
A ML-based resource utilization OpenCL GPU-kernel fusion model - ScienceDirect
Deep Learning Frameworks
Train neural networks using AMD GPU and Keras | by Mattia Varile | Towards Data Science
pygpu.gpuarray.GpuArrayException on Theano OpenCL backend · Issue #4965 · keras-team/keras · GitHub
Keras: Fast Neural Network Experimentation
