Mlearning.ai

JANUARY 28, 2023

TensorFlow: TensorFlow is an open source library for building neural networks and other deep learning algorithms on top of GPUs. Keras : Keras is a high-level neural network library that makes it easy to develop and deploy deep learning models. How Do I Use These Libraries?

Data Science 52

Data Science Machine Learning ML Python 52

Mlearning.ai

MAY 16, 2023

Deployment of deep neural network on mobile phone. (a) Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., to boost the usages of the deep neural networks in our lives. 1], (d) image by Shiwa ID on Unsplash. f, 0.4822f*255.f,

Neural Network 98

Neural Network Convolutional Neural Networks Inference Engine Deep Learning 98

Mlearning.ai

JUNE 2, 2023

NNAPI   — The Android Neural Networks API (NNAPI) is an Android C API designed for running computationally intensive operations for machine learning on mobile devices and enables hardware-accelerated inference operations on Android devices. In order to tackle this, the team at Modular developed a modular inference engine.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. Connected Papers ?

NLP 94

NLP Neural Network Natural Language Processing Computer Vision 94

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. Connected Papers ?

NLP 52

NLP Neural Network Natural Language Processing Computer Vision 52