Intensive lectures on practical application cases of MATLAB algorithms-[Artificial Intelligence] Machine Vision (Concept) (Final)

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Origin blog.csdn.net/qq_36130719/article/details/130226267

Intensive lectures on practical application cases of MATLAB algorithms-[Artificial Intelligence] Machine Vision (Concept) (Final)

Intensive lectures on practical application cases of MATLAB algorithms - [Concept] Method of constructing data indicators (final part)

Intensive lectures on practical application cases of MATLAB algorithms - [Artificial Intelligence] Contrastive Learning (Concepts)

Intensive lectures on practical application cases of MATLAB algorithms-[Digital and Analog Applications] MSE Mean Square Error Loss Function (Final)

Intensive lectures on practical application cases of MATLAB algorithms - [Digital and Analog Application] Triplet Loss Function (Final)

Intensive lectures on practical application cases of MATLAB algorithms - [Recommendation System] Multi-scenario Modeling (Final)

Intensive lectures on practical application cases of MATLAB algorithms - [autonomous driving] FMCW radar (final part)

Intensive lectures on practical application cases of MATLAB algorithms - [deep learning] optimization strategy (final part)

Intensive lectures on practical application cases of MATLAB algorithms - [autonomous driving] millimeter wave radar (final part)

Intensive lectures on practical application cases of MATLAB algorithms - [Deep Learning] Convolution Operators in CNN (Final)

Intensive lectures on practical application cases of MATLAB algorithms - [Digital and Analog Applications] Feature Engineering (Final)

Intensive lectures on practical application cases of MATLAB algorithms-[Intelligent Optimization Algorithm] Harris Hawk (HHO) (Paper 2)

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Optimization Strategy

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Model parameters and convolution operators in CNN

Intensive lectures on practical application cases of MATLAB algorithms-[Model Tuning] Parameter tuning and parameter initialization

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Pre-training Model-ELMo

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Pre-training Model-Transformer

Intensive lectures on practical application cases of MATLAB algorithms-[Sequence Model] Recurrent Neural Network RNN

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Meta-learning based on optimization

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Recommendation System Evaluation Index

Intensive lectures on practical application cases of MATLAB algorithms - [Concepts] Quantum Machine Learning

Intensive lectures on practical application cases of MATLAB algorithms-[Intelligent Optimization Algorithms] Multi-objective Algorithm Performance Evaluation Index

Intensive lectures on practical application cases of MATLAB algorithms-[Digital and Analog Application] triplet loss function (supplement) (with python code implementation)

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Pre-training Model Transformer-XL&Longformer

Intensive lectures on practical application cases of MATLAB algorithms-[Image Processing] Image Classification Model Swin Trasnformer&ViT

Intensive lectures on practical application cases of MATLAB algorithms-[Deep Learning] Pre-training Model ELECTRA&Performer

Intensive lectures on practical application cases of MATLAB algorithms-[Natural Language Processing] Semantic Segmentation Model-DeepLabV3

Intensive lectures on practical application cases of MATLAB algorithms - [Deep Learning] Multi-scale Feature Extraction (Supplementary)

Intensive lectures on practical application cases of MATLAB algorithms - [Deep Learning] Multi-scale Feature Fusion (Paper 2)

Intensive lectures on practical application cases of MATLAB algorithms - [Digital and Analog Applications] Hypothesis Testing (Supplementary)

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