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
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
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…
MATLAB example using deep learning to classify chronological age from brain MRI images
Train a reinforcement learning agent to play a variation of Pong®
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
YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks
Repo for GoogLeNet
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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