Compiling Machine Learning to WASM and WebGPU with Apache TVM
Keras: Fast Neural Network Experimentation
Accelerating NNEF Framework on OpenCL Devices Using clDNN | Semantic Scholar
Implementing OpenCL backend for pytorch - hardware-backends - PyTorch Dev Discussions
Train neural networks using AMD GPU and Keras | by Mattia Varile | Towards Data Science
Deep Learning Frameworks
The CNN2Gate overall architecture comprising a front-end parser (Open... | Download Scientific Diagram
Keras: Fast Neural Network Experimentation
Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs - Qualcomm Developer Network
François Chollet on X: "PlaidML is an open-source Keras backend that runs on OpenCL, with good performance relative to TensorFlow: https://t.co/tCmzXHfFUO https://t.co/3YAQI0EMX5" / X
Evaluating PlaidML and GPU Support for Deep Learning on a Windows 10 Notebook | by franky | DataDrivenInvestor
Applied Sciences | Free Full-Text | CitiusSynapse: A Deep Learning Framework for Embedded Systems
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems
Accelerating Convolutional Neural Networks in FPGA-based SoCs using a Soft-Core GPU | SpringerLink
Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs - Qualcomm Developer Network
python - Keras Machine Learning Code are not using GPU - Stack Overflow
Inference Engine, pytorch, opencl, keras, inference, tensorflow, Statistical classification, fieldprogrammable Gate Array, Deep learning, Coffee | Anyrgb
Getting started — ElcoreNN SDK documentation
Keras vs TensorFlow - Which One to Choose in 2023
Keras: Deep Learning Library for Python | PPT
SoyNet, a Fast and Affordable Solution for Inference Optimization - Edge AI and Vision Alliance
Keras: One API to Rule them All | Learning Tree
Nvidia - Part 3: Beyond GPUs, Software Moat, and Competition
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
My GAN deep neural network that is learning how to write handwritten digits, running on AMD
