Convolutional Neural Networks and Inference Engine

Search:

DAY

WEEK

MONTH

YEAR

Select your country:
Sign up | Log in

Convolutional Neural Networks

Inference Engine

Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

Unite.AI

JUNE 21, 2024

The model is first parsed and optimized by TensorRT, which generates a highly optimized inference engine tailored for the specific model and hardware. This engine can then be used to perform efficient inference on the GPU, leveraging CUDA for accelerated computation.

Deep Learning

Deep Learning Neural Network Convolutional Neural Networks Large Language Models

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Mlearning.ai

JANUARY 28, 2023

It provides support for both general recurrent neural networks (GRCNN) as well as more specialized models such as Long Short Term Memory (LSTM), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Belief Networks (DBN).

Data Science

Data Science Machine Learning ML Python

Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Mlearning.ai

MAY 16, 2023

Conclusions In this post, I discussed how to integrate the C++ code with the NCNN inference engine into Android for model deployment on the mobile phone. 3] Tencent, NVIDIA CUDA Convolutional Neural Network, [link] , 2019. Hope these series of posts help. Thanks for reading. References [1] Vaswani et al.,

Neural Network

Neural Network Convolutional Neural Networks Deep Learning Inference Engine

Webinars

Relevance, Reach, Return: How to Turn Marketing Trends From Hype to High-Impact

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

Artificial Intelligence Zone

Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Webinars

Stay Connected