Discover pretrained models for deep learning in MATLAB
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Updated
May 22, 2024 - MATLAB
Discover pretrained models for deep learning in MATLAB
Deep Learning Transformer models in MATLAB
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Develop agent-based traffic management system by model-free reinforcement learning
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
MATLAB example using deep learning to classify chronological age from brain MRI images
Train a reinforcement learning agent to play a variation of Pong®
This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualiz…
The entire workflow of developing deep learning model for detecting face mask.
MATLAB example of deep learning based human pose estimation.
Mask-RCNN training and prediction in MATLAB for Instance Segmentation
Image to Image Translation Using Generative Adversarial Networks
Repo for ResNet-50
Repo for GoogLeNet
YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks
Find and solve sudoku puzzles in images using deep learning and computer vision
Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
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