R language uses deep learning to build a voiceprint recognition system - コードワールド

R language uses deep learning to build a voiceprint recognition system

プログラミング 2023-09-18 18:23:48 訪問数: null

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転載: blog.csdn.net/m0_68036862/article/details/132941138

R language uses deep learning to build a voiceprint recognition system

R language uses deep learning to build a voiceprint recognition system

R language uses deep learning to build a network security intrusion detection system

R language deep learning practice: development of autonomous driving vision system

How to use R to build deep learning models that surpass human performance

R language deep learning practice: stock market trend prediction

Remote medical diagnosis using deep learning in R language: Deep learning applications in the medical field

m Matlab simulation of animal recognition system based on deep learning network, with GUI interface

R language uses deep learning to build a network security intrusion detection system

R language uses deep learning to build a network security intrusion detection system

R language uses deep learning to build a network security intrusion detection system

R language uses deep learning to build a network security intrusion detection system

R language uses deep learning to build a network security intrusion detection system

R language deep learning practice: generating images or data visualizations described in natural language

(ResNet)Deep Residual Learning for Image Recognition

Application of Deep Learning in Face Recognition and Python Implementation

Application and practice of deep learning in medical image recognition

[Paper notes] A review of gait recognition based on deep learning "Gait Recognition Based on Deep Learning: A Survey"

R language deep learning is taking over the medical field: intelligent analysis of electronic health records and optimization of patient care

R language deep learning application: stock price prediction and recurrent neural network (RNN)

R language uses the train function of the caret package to build a regularized generalized linear model (glmnet) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a Bagging AdaBoost model (Bagged AdaBoost) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

Topic: Application and Development Trend of Deep Learning in Image Recognition

Umfangreiche Sprachtranskription mit Deep Learning in R

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R language uses the train function of the caret package to build a multi-layer perceptron algorithm model (MLP) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses deep belief network for audio recognition

LabVIEW uses lip image recognition to develop a text input system for people with disabilities

Natural Language Processing (NLP): Build natural language processing models such as sentiment analysis, text classification, machine translation, or named entity recognition.

【论文解读】Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning

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