带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
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Updated
Apr 21, 2024 - C++
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Standard logistic function.
Logit function.
Implementations of neural networks in python for the classification of MNIST datasets.
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
NTUEE IC Design 23Fall HW4
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension
This is a compact working example of a perceptron with sigmoid function in python.
Neural networks experiments with JavaScript. Allow the use of Sigmoid, Softplus, and Hyperbolic Tangent neurons.
Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
Deep Learning
This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.
creating a binary classifier that is capable of predicting whether applicants will come out successful after receiving funding by an investor.
Neural Networks and Deep Learning Models
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